{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[![Test](https://github.com/tmbdev/webdataset/workflows/CI/badge.svg)](https://github.com/tmbdev/webdataset/actions?query=workflow%3ACI)\n",
    "[![DeepSource](https://static.deepsource.io/deepsource-badge-light-mini.svg)](https://deepsource.io/gh/tmbdev/webdataset/?ref=repository-badge)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-18T12:04:14.108262Z",
     "iopub.status.busy": "2025-06-18T12:04:14.108100Z",
     "iopub.status.idle": "2025-06-18T12:04:18.040990Z",
     "shell.execute_reply": "2025-06-18T12:04:18.040679Z"
    }
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "import torch.utils.data\n",
    "import torch.nn\n",
    "import os\n",
    "os.environ[\"WDS_VERBOSE_CACHE\"] = \"1\"\n",
    "os.environ[\"GOPEN_VERBOSE\"] = \"0\""
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The WebDataset Format\n",
    "\n",
    "WebDataset format files are tar files, with two conventions:\n",
    "\n",
    "- within each tar file, files that belong together and make up a training sample share the same basename when stripped of all filename extensions\n",
    "- the shards of a tar file are numbered like `something-000000.tar` to `something-012345.tar`, usually specified using brace notation `something-{000000..012345}.tar`\n",
    "\n",
    "You can find a longer, more detailed specification of the WebDataset format in the [WebDataset Format Specification](https://docs.google.com/document/d/18OdLjruFNX74ILmgrdiCI9J1fQZuhzzRBCHV9URWto0/edit?usp=sharing)\n",
    "\n",
    "WebDataset can read files from local disk or from any pipe, which allows it to access files using common cloud object stores. WebDataset can also read concatenated MsgPack and CBORs sources.\n",
    "\n",
    "The WebDataset representation allows writing purely sequential I/O pipelines for large scale deep learning. This is important for achieving high I/O rates from local storage (3x-10x for local drives compared to random access) and for using object stores and cloud storage for training.\n",
    "\n",
    "The WebDataset format represents images, movies, audio, etc. in their native file formats, making the creation of WebDataset format data as easy as just creating a tar archive. Because of the way data is aligned, WebDataset works well with block deduplication as well and aligns data on predictable boundaries.\n",
    "\n",
    "Standard tools can be used for accessing and processing WebDataset-format files."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-18T12:04:18.042636Z",
     "iopub.status.busy": "2025-06-18T12:04:18.042509Z",
     "iopub.status.idle": "2025-06-18T12:04:20.332837Z",
     "shell.execute_reply": "2025-06-18T12:04:20.331615Z"
    }
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PMC4991227_00003.json\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PMC4991227_00003.png\r\n",
      "PMC4537884_00002.json\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PMC4537884_00002.png\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PMC4323233_00003.json\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PMC4323233_00003.png\r\n",
      "PMC5429906_00004.json\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PMC5429906_00004.png\r\n",
      "PMC5592712_00002.json\r\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "PMC5592712_00002.png\r\n"
     ]
    }
   ],
   "source": [
    "bucket = \"https://storage.googleapis.com/webdataset/testdata/\"\n",
    "dataset = \"publaynet-train-{000000..000009}.tar\"\n",
    "\n",
    "url = bucket + dataset\n",
    "!curl -s {bucket}publaynet-train-000000.tar | dd count=5000 2> /dev/null | tar tf - 2> /dev/null | sed 10q"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that in these `.tar` files, we have pairs of `.json` and `.png` files; each such pair makes up a training sample."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# WebDataset Libraries\n",
    "\n",
    "There are several libraries supporting the WebDataset format:\n",
    "\n",
    "- `webdataset` for Python3, this repository, implementing `IterableDataset`\n",
    "- [wids](https://github.com/webdataset/wids), implementing a standard PyTorch indexed dataset interface\n",
    "- [Webdataset.jl](https://github.com/webdataset/WebDataset.jl) a Julia implementation\n",
    "- [tarp](https://github.com/webdataset/tarp), a Golang implementation and command line tool\n",
    "- Ray Data sources and sinks\n",
    "\n",
    "The `webdataset` library can be used with PyTorch, Tensorflow, and Jax."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The `webdataset` Library\n",
    "\n",
    "The `webdataset` library is an implementation of PyTorch `IterableDataset` (or a mock implementation thereof if you aren't using PyTorch). It implements as form of stream processing. Some of its features are:\n",
    "\n",
    "- large scale parallel data access through sharding\n",
    "- high performance disk I/O due to purely sequential reads\n",
    "- latency insensitive due to big fat pipes\n",
    "- no local storage required\n",
    "- instant startup for training jobs\n",
    "- only requires reading from file descriptors/network streams, no special APIs\n",
    "- its API encourages high performance I/O pipelines\n",
    "- scalable from tiny desktop datasets to petascale datasets\n",
    "- provides local caching if desired\n",
    "- requires no dataset metadata; any collection of shards can be read and used instantly\n",
    "\n",
    "The main limitations people run into are related to the fact that `IterableDataset` is less commonly used in PyTorch and some existing code may not support it as well, and that achieving an exactly balanced number of training samples across many compute nodes for a fixed epoch size is tricky; for multinode training, `webdataset` is usually used with shard resampling."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "There are two interfaces, the concise \"fluid\" interface and a longer \"pipeline\" interface. We'll show examples using the fluid interface, which is usually what you want."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-18T12:04:20.336656Z",
     "iopub.status.busy": "2025-06-18T12:04:20.336517Z",
     "iopub.status.idle": "2025-06-18T12:04:20.432364Z",
     "shell.execute_reply": "2025-06-18T12:04:20.431708Z"
    }
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/Users/tbreuel/proj/webdataset/src/webdataset/compat.py:379: UserWarning: WebDataset(shardshuffle=...) is None; set explicitly to False or a number\n",
      "  warnings.warn(\"WebDataset(shardshuffle=...) is None; set explicitly to False or a number\")\n"
     ]
    }
   ],
   "source": [
    "import webdataset as wds\n",
    "shuffle_buffer = 10  # usually, pick something bigger, like 1000\n",
    "pil_dataset = wds.WebDataset(url).shuffle(shuffle_buffer).decode(\"pil\").to_tuple(\"png\", \"json\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The resulting datasets are standard PyTorch `IterableDataset` instances."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-18T12:04:20.434829Z",
     "iopub.status.busy": "2025-06-18T12:04:20.434700Z",
     "iopub.status.idle": "2025-06-18T12:04:20.437629Z",
     "shell.execute_reply": "2025-06-18T12:04:20.437376Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "True"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isinstance(pil_dataset, torch.utils.data.IterableDataset)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-18T12:04:20.438790Z",
     "iopub.status.busy": "2025-06-18T12:04:20.438712Z",
     "iopub.status.idle": "2025-06-18T12:04:22.387810Z",
     "shell.execute_reply": "2025-06-18T12:04:22.387503Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x12fec5050>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "for image, json in pil_dataset:\n",
    "    break\n",
    "plt.imshow(image)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can add onto the existing pipeline for augmentation and data preparation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-18T12:04:22.389238Z",
     "iopub.status.busy": "2025-06-18T12:04:22.389142Z",
     "iopub.status.idle": "2025-06-18T12:04:27.863735Z",
     "shell.execute_reply": "2025-06-18T12:04:27.863380Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x1677a1250>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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UIKmM2F/2P8/ceeedXR87Huvr6+O2O6+cc3hOkrdYL9afY+3c47tz+nTDBQ9rIUVs6tZbby3/5//8n03X3/CGN4z/ftrTntYx7Be96EWdO4xJ3NKNN95YbrjhhvF3tBYXz7kmJgILRs1FIaU26+R18bFguJdnWtcez2qNIfQgmFdquzm5ZMBaDk5K3XLf+973xsyG9+oe4z5+Rxi5QDJOw+TXlQDh2uJ+41rGNygHRpFaNJqgvn7Kpv5pHSqkfKfuSbV2tV76J9uc7kUXr+4z7tFS5VldrzIcLVDrSbncj6vIe2RGap26ViHapKXnfWqxxrNsU/ZlMpqMb8CEeD91lTmfiYarEpGWG+XaDueVjF2myG8wc/5mTtgv9qMuubQgKJt68077AqFlX+tezbhpxiAdRy0ELWnIeaWbDKJcBTd1dK5ZH92UCjaZfQJheBdz2fdYd74zprSHcmkn71KRS8Uy1yaUwAzdc5TDv9QBhc3+UXHRQldI2Z/pnnau0BbqQN2p53dijfpO7qP9jiXvuuOOOzZZ7won+5x+1Z08TQIKmlk/SzV+4xvfWP7n//yf5ZOf/GR5/OMfv+W9TBC0BeJZL3nJS05aNgMkEz/XpEaeDMouTc1bt5XXtbpkaJAxFBYxblDKljHoPoBSS8YaVTNFo3PhpatNkkmlJZHlWbdkZgqQ1h2lwEkwBpQIqxY4kEI825zunZa5ZRnZx5LMLe/rQ1tZBwEbxu0yZmaf5n3Wu0VYJdPqC9S3rrtWaWlBLGdCibrM9ia14+a7sCIy9qawdN60ZJ11k6UV7ztakEVbl76YYbtWUpjrqkvhk+X4aZGNKQwUvnzS9ZrKYfZfOxbt97zX31WUKDc9GwqJFpnXrrckx8HfFkdrtL0/gVgJsPCeNla7XcDK2SR4Fsr2Q2ZJ0SFvetObygc/+MHyiU984qQCCvrsZz/b/YtFNW2UkzwZRatNi8Jy4eVCkbgHYW0gn3vRBLdCWOEecLExETPA7US1Lvl9KzRbCloXoe3KdntP1q0PoeZ9fUHbdjH1CZ5sQ19dW0pLrY9R+m+rNSdlG/ra39cPp0o+czruPZSadCcmg4dBGVvD6lWrT7eSygb34epSmbFtxrOgtM60AvjgdmMOY+Vm/InneB6NHgulT0nLciVdzSl8FNyCGfhdhcm4CtdgaunmS+VH96Lz3LiYlnoqYlppiYrUM8E6NJ6JAphrNy0ViH7VJa2Qoi9ULnUvatXrenY8bUOuPd23s2HN2aeUIzDCPnQsBcgItkhLbhpp/my4+D7wgQ90VhQDh7kKsYBwMeDS4/eXvexlna+WmNRb3vKWDvn39Kc/vUwbCf9MTa4VQumCcKH0MWeFFAsQZmPgeCvKyd5SMoS+CXqqTDIZ+6ncO+m+U4XgT3rf6SyyU6nzqfrmT6f9Z4uMsyV6NAUM84aYGvNLLb4dZ4SCsTyYl8ytz9pKhUdrgHnO82rxAg6sl7GbLMdYalrdvrMVUpBgGt1WAnl0k0PWhT5JsJUuP12FWnwICMFLIh91H+oCa7dE2KciKEUaKkhdmwoO6iO6kHZRr/QeOD7ygFRo7UvLTKVo9wg0YTw6FV/7NYUU3/Uy+Zz11qKcNmH1oAup3/qt3xpv2E1673vfW17zmtd0HffRj360vOc97+kmDbGl66+/vrztbW8r00hM4ic/+cndpNTUN+ajv173iYAKJgm/uVAgA6IimVzsQmQHOr+JwL4f42LJvGFMKH0wY5Wg1NAhmSnzC21bhuU8NRDPHCTGQcyOuJPMkXcQlOdZrQVdaLoMReNRLhYXDB7mDfG7yEBd5MaInPesG4Wbbla8BZT19a9/fWwp2Q+USX1Yf7xbmDqxcK06yn70ox+9Cc3IewQoCPnWYuN+LBjg34IfeJ9CB6sKJfKb3/zm2GLFPU89Pv/5z3fvB0yll0TFgXLtd1Gouul4P+2kv1XsFbBXXHFFN64KRa7rFlToCmlPpCIEj6V9bD2hPxjjBPFMA50Vd99WhFBiw+/DhdRi3FckqoYFIXLK+yAnh4HddI+J0Et4dl8cZqDzj4Rup/UjcECFRsaVll87b2DOMNq0HBA+wsYNxOe+HMvyWch6JDRb4ISADgEFKmJaaLlVQ4bN+xI8AykAYbTpmqYcQRTci8CwXm65cP8RZVNvBItWE2X2ufj0gAg/RzDybuulIomLUFCHzyvwrBuCRkswEasqBm38T2h/tjNBREsjMEW6M7W+jF1ZdlpqjuM0AyfO+j6p84GYEEwwNw26TwLNyYWSUHNNb12BCXVWKOlumRQzGej8ImMZgmKYFzId4ftYPjKgBIu0scQ2vqEFr4LlhtiExfMvWnjrfk4hle+gfBisWyry3VphGX9yLWgBysQVKCnoRGe6XrQOzKghgMHy3GyuUMp9hjLtdJFyH+Vj1eR99pXoTPuG5xGUIlkRDH/91389BuY4HoJscv3ruuO7G6wlyj906FDXj/ZPAqKMGToO9q/9rXuVD2WrFE8bnTV039mknYTuw1pyM6UIPia8MYSEMPeZ2C5onsF1qBbr4nFStcPkBMe0F2J6OpTopoQIn4obwGfczJpuFH835Q/3iE50QZ0uGYPIuMa5cldk2hsoM05QxxYefzLSTdz2Yd99uuW0PrSaWsCO12Rq1AtyXxIfXHDcx9wUHJCatuXnZuutcuNNArBYh3QLJsLR57SubIPwbZ6lj1vUm/dC9pmbqS3PeI+CUSGVKbYSYGGMymwbxq5yY7dCoELLGXuEF78IbkAYYc3tLseOVXeslPGkzNeYFnHyCdu5Z+SiVUHQsmvTlLXKiH2TII+dyO4fcnTf+UbuP9LdoVaY2QjUptrgdAImTK/kviOI5zIwnM+ombnDPdFcLs4M7KaWmYFry3MS5wJpXQoZJxAwwoJNN4rMxswAMki1Y90VLXQ6+ynb6rsUxjIT6+m1LNv2bUXpxkpYui7aPpeZ5Wt5JKqMf2mzjC2tgYxL2iafFRUmM5skpLRI3KMlE2+ZTgJznFcK1HQ9M6/cF0VZ7uvx9xQaIkEdr3Q/p1D0k8CK1O6FnftJl6N9qzKiWzCBBtYnY2AJw3Ze5fil4LLfVTRynoy/z812Sqfv1c2WAqGmmcJLQr2wzKgPrkuEHeXPlMWFat22uRSdX/aHlqL1bvfNrY6g82ac0RLMLQP2n+Q45rYJXY3nUsE7UxqE1DbJwG8SE4rAqUzENDhuWlSzkcGa3wwIPjnccF9oJRG81ZTPTZcySwK2vJ+d9bm/CMFJ8FsNmE3SMgYYoyli+J7+9dzPo6sB/7oCh/eZuVsmQn2pE/fwOygm3iEa7Ctf+UrnOqGeXCP4rjBxvxj9YfYChY5BePMQZvxCBsi7+ZgJAfCAiCwZmLEL+yL7n/IIyKthk6XD3f3GTFLjF86skNIFRjm0nWv0F5s6aa8wZvazWZapi2gHQXHazTYM+nuStYkyYr/qjspMEY4dwXxdzm57uPrqq7t/cfnIoNgaQh8QUE9FJQW9mSXcuCsMvo0nZd9yD+2Hobqxm/vpV3PmmQ6Id7t2BCsAQuK91FWhozuP94mkZW7TTrOK0KeAI8yHSAyKfuK99o/ztU+5oZ2HDlcX56OuelRXT9YUbehcqXfdXVZWK/O/6KILy+WXX1ruuYeMHevliit2l6NHV8vSCWDf9ANp0i4vx44fKydObMT1IOY+7QTOb1+y6V5BTLtx27rxGGLuXHvttd19XKONuhwdq9yDyNpXwXV86HuuA85wE/m00CCkzgI5WWSSJl2FYWnaqyW5HySDqukW0ALqizOomWpRZaxCdwqkJmu9qIflusDVxHKzrxqx7pJEH+p2Ss2M32krTF6tV03UeyxH9xULTmaX6WHUgGVUPss1NU0tVl0nWn1aeVqAWh8K93SZOEa+y/RICu7cFwPpxnUsdPH5nlaoiTZDOzcFkoIyocUnc8M4nxzLTNWUAX8RphnPzLo4f9Tws/66jBOWrstOxcb+U9CreDHn3LfUWrHW2fdbrzbbiYpYm9WBd9s+3+/4tutOS1vh2CZwdc14v58O7LG2gbpVCcr+ixZRsbJrF0KGeq2V9a7I9TIzW8rMbH3X/v0I5ZqQNy1/52+iCRX86ba3zisjS1cIPm3nmQSuZHvMQmM+T54XUannY5poEFJngWSWMtJMbIkGlK4dJpV5+mSa6baToemmaP35MiNhp6KLWqtIZmh9mOi6D3QLpctG4eWG13RbZYJL0yelcNGK0VqwLzJwbh10O7kB1fooEGVi1NU6pAWhO8s+sb4ZrE9BkHuCMgNIQn4VKAqwVB4UmjIdrSLvkXnbXhm3Ckrup5OZn0rmibRa7BsZlK4vqGVcPptWJCTDM1uJAf9kztmfWo+JLPM9KUAyE3z2rXPMeZlgiew7rYMEFugyTgShAl6yXBUB50eCDnynZatU6F6cm69955xeT0HWfRut7+5dCDTGspSlE7S/XkNQdZ8Zjx+qczfnhiAO+8kEtO4ha+NMS6MtLa4Bc0bKN2y3zzGHVQRVNiHH52Su8J1GA3DiQaSWmXuNj0Iq97Yk45RE47BIKCddT0kZm8r3uxB0l7lAU4t2oiZz6NMadYmojVqO77Reama679q0OgogrZxMapqMK+uiW01tHuGe9bSvdbWla0/GmzEj+y/BIrqQZBjUBZcd78a9ZZlt+iQFtAJVxmm/5B4WhUa6elMRUPuXMW4Vk1IJSMRZtk0FJeNBAie0jto5l33aAjHs5+zvVJByLvo+AQqtq5SxbNMaebaXa8YxcB7nWDnffD6tEcfV429yLmU7s77OZ981Rr1hJPG/UZkba2kjfsaa3L1ndzlx/GhZL2tAJsryeO8RsTOs5wu6Z4SWWyct3czukXUUGew4zIVi6HpNZVVK5cLxytRMWmSpDO4UGoATDwE54Zk8LBT3WUCpUabmmclO08IQJMDEltJF0DLetCp8n+9U2xIhBclE2sXcPqtwSKZpwDrbZZmSAqMVngkJTksjBWUyvwwci160nQo5NekUsLnoDUSrEEBaIKntJzgl3bEJGsmURO4Fyme5hz7W6shjT3LvkLEvmY8bSbPv+6hP4Oaeor75KGlNGBOy79MtnWOW8yFdZV7PrAX2fUKbRXY6f5y/bsWwbAWnGc8TJm7ZrVWWjFq3bsZivS9dea2AymsZzxv3x8rGnBSwMjNDP2PFYpGslrJ2oszO4ebjXVUYAJ6oz6GUoJBVq9txcqzazbQKkRbY4Vxfjc2//A1vsG90dfcJr3Rl51qcNhqE1DYpj7zgXwK/WHrf+MY3xveIwmGyciRGBku1UphgnrsDM2HnOtcJmBq8VUvWEmNBq6GmoMj0MOxU531f+tKXxrnbtAzSzeQC1Z/P8yK/DNYmxDohrSl8hfbqosnFIyzbPWRaBzIx2yfpozeW5OGF7P73cD6PCxGSy/3E5zwokr4DjCLzw1LyuBTz13lelocYUg6HyFEu+19kuvSbFqqxOzanyyS+9rWvdX9zhAWKBu8BlNEKImMKgDwAOnjUyVYkGAQPghaEruN0IfqO3FJAm6g79dIyEIKuG4m+T8vV8dVy22xVbMwbLQLmvEKJPqH9Mmf3AAl8UCjyoXxARoJfPCwwXc9pJeuJ8Aw3xtqzr8xorwVhfEoFUFekZ28pgGiHlizgiEP310MTGftLL72km2f33//dsrCwUi6/fK4cO0ofrJY9e0EichrAheU73/leuf9+NuNuHB8iyIg9U/anfZdKhEIqrStjeFdeeWXXt8xjQSwAkVQgeIdWlmjbPDJIYedxMMw1+nonJ5xtaRBS2yQmBoJH15r+4oTCekgjExEmYwCzTW2iD1mtygXngW4yCJPOmhImTwU2tsA1nnFRas3A7Nybk1qVzC0D7iwuhZZnSelGyzQyWhNqyrZFC0KhmNB6+yhRdkmJHuOTp6+qPbdgjBY44TlFjgVk/Vn01FF3qklatXzsIz4sbBFT1sv4gfE/ma4HEXoCrKfmpjJgbIcP9ygct4pLGeuzL51raT2m24x2e75YAgmMV+hmFVVn3RMEkcpHKhseryID5Fn6iHfRT6JVabd7fJiLts0x1eJUcbL/HacE/jg3Qe3xjgTw+HcqjSLYcpsFdcgjQiDb7Brp4lT71sYRqJkZ+5R5iyCZLyvLa11can6e+VAFqZuhV1bq/Mtz4Zhj1lNlJcfRmJWHhabr9MBoi4LuMN+VBx7qHZCvCDRhXjmPBW9kLHNaaBBS2yQmUNW0qibp5NRS0GWgtuSkgVmo7Qg/NVOz2h+U7qN0R3lENgxGC0fmR124BswV7VQhqYXjxM+9GlDr9oDxyLwQlB4Vzu8yAX53AaUvnfbJyIUuU3froEVmOXkAH6RABs7MfbTT3HX+7nHzUMaDIMdB7dnfFTQIBQ8upI88w0v3igKKunoQXYsKczwS1KAyIIPS8kmFwPiUFiXvSJdkH6Xr1nZllvCMfWl9kE4nLV2VB4Et/JYnA6s00DfOEeeb1gvjZwDfduimo0zmmgLYuS8y0Dni/iNh2DJb54xuLJUgFTrmCgoa9VPQ6ooV5OOYqfS49qibCqSWlmCPjBV27Vpc3ASqqXNnwz3IXqrZWRQD5sLMJmFXXXH8vnFQqaATATmQihYfLDbqxxpzbjmPFyPTu2de2e8JVjEOK29xbarYMI65922aaABObJPUcuzG1s3l5EpLB8qJ4sR18jG5mLip/al1M/lwnZjPDKYtwzco6+RlcssQ2HvhNYWZz02aAjA5rSMtKdpK+QILfC/UugBlDkn2w6YYQBwaaN9JCAcXG8oAlqOpe6iDMTCtOZi9AtgYmkdyQ5QhM3VflkyefjF2oIClbfRDX/wnLcZkeiY/TbCFlGhD3ZO5kXYSqfQIDkiSwSa4AVLhMV0Pcynh5dZHC8mxckx1CWf8pr1PK4c2uP+JeaJgybif5UmJysz5YB85LxKc4iGNWk/G2bTu05q0jun68n0ZB+Z3rc1ZhP5I6WDuIUhRkA4dupsoT0FXXF3FkirdvXNzzLWacWZpablbtwpwFdJEG9ofGUvWGs8zoXKOrUf9jc+KmkWw2YbkLznf7AdziubWi51AA3DiLJPMJnfH5yZByLhTX4YAKOG2bZwnUUxqaxn81fUCKXy0QvSzOyFlvrlIJwmp9J/r2ze2ka64BCaku6rPlZiMoW2HzEi3VFp19gP9SHuph/VRY7Rs+yuTbNrvtiNRiTKtloHqNlRIGy/I9yXqLPe+wURsS0J+c8xsnxbIyUgh5rudd22fp/BRcPouYec5PgqEjGvaf7rYJo2nY5r9AmUMzr6WUbsuEkiUY63gyswZuv7Sxey42K4st0UuaiU69ml9Z4y1u5e+jdOj68bpo2VpiX7EzVvB6F3ZhTbQJk9Y3kixdGKEBsy5npQxt9x6Yb0zv+DKqG/TKrT/abtjkOjLdn1rJQ8ZJ85DUgPXr25qfN1YTs50Kfg9SVBAi6ZKn7pmvzERNVcZDe4MtDetrDxrKiG3eTS8v7XMp11UHkmvIEQr10LR2pmkxVm2iyeh0Pke3TEeS6B7wwWqJo0F1SLiRC9muwQoVE24ukdFRjFWWmGtYNXdZHkG5gWT0N7MmNGiEhXmxlu0cHV10Ya0QLM/JpFKjnvHZM7tOUj2dY5BKkt9Y6sbCHcuv5ktok1blHOkb3y91rdZNAWkc9E1kH9juajs2Wb6UGh2MvaMa/K76Yz4XQVGdxll4IHITbEttf1W40VHuk9er/uhuv28bBop66UicYWuI8bWljcEM1Kt7TfXd18/8tEah9wG4pxP1K1tyf1VfR6JaRNMSYOQ2iapRee5OQgKFxuU7iDdcZ70qYbMYiTI7uTFZcKkBAWocCM9CmXifjL9fi4oTH8mt5plJsZ0QbeoPt0jMgoZVHuOlZaMyUhpkwFa0+2kIHSBpg88BYuLDveI75Gp0w+ma6IfIJmN+6dSk9ZapE8QYC5O3o2AIV0O7UFoZ5zM8dFNlApBpv6B+ZkvjTrxPeOIlG1/p7DimjGnjKHkgXjODeJeWyWlZWw9YND+NM9duvmcP7kJOwVbws15lwF1fqefuK5LLQVDwqIhf9NSHFsiARjKoz6Ib2qdojTwybmptcB48zfzXgQe16wP7l6uMW9ybE33xfzlXfYj9/A8KDjWBnVSSbCvnKedIrW+VpZOVIt6cbHG9+juqnDWtcb6Yy4xTxcXF8r8wkJdUyNlqhv/LvEsYquOCfOGeJr7CAVJaEGl8KWd1JnvBw8e7MaZ67pMU2h5bh3tc70bV6WOKr7wG5+ZNoE1CKltkq4C/eNOmjY1UO4TYbIQI5KRQW7chYTmImxSSLGwdefl/oiMjwikUBhozbmrXQGiG8a4i/5ug+1CsS1f956+dv82oK+QkhELB3aRQLnRlPI9K8dFoyCiH0yPo58942kyxQyA08cIV/vLPqVu+u1N5JqIMGHNGZPyWccM5kbdXPTmTuNemI3vbi1nofNaVQp4rUpjELzD4PkkISX8PIVSAgcUDrqXjEOJEEuLw74TbakwoZ3WV2Hm3i+vy1A9zsMtELlxXIYvYAdSoRKtisKlYNOq5Tvzl/oIZnEtcQ0mj/JHX3A/7cLqFjTBuLimnI9aUTzH79TbuLFEHcbjsr5WDh+qdd27d99I+G8GBcnsL7vs0gqK2LOnHB2tl67smQ2EnkLKYzicAwhb+Ufu8zKOSLucG6ujNUO/GatjLuqtoUyEtRt1XZ/0P22nfPqzjRtPCw1Capuk/959IEwMtV1dScKgZaq6aZIh8TcaIAufMkxK64mjlEXCS8rld4WA7xBskVYBC8Y9ESx+yNhPbvJsAR28E4aFIDUmoZDyIDj3mmSQOl1tgkXU4jNwLPNrEW0yJ/Yb2W8Jr1Uw+IyM1oXdlkcd6Sv2IrkwjWfIrCjDA+syfpQbIe1Ttf2MQWlpUFZqqd7D+7XemCMqAwpy7z0Z09B61g1kO+xPrR0Vo1QwrKMxN9uqVWFb6Sfdko6pc0TtnDKFUpvlO7Ol6y3gPuaybmwYLP+KyNQyoh3MUQWs7RTBpyC1343nUS79x35CLVWPeEeY64KmHBSX7CsT38rw7ScRctRBt57wc/ZAdYIHgdu5jo926+PI0aNl3969m7wXnXBZWS5rq3UumIJM97tjp9s+40+GCuz/+0dnYSUP4Tfucf5otdqn6c50zC3jVObaTqNBSG2TZEaeK+RmQ0impmCQQfXlatOKERjgYhcl5V4UJ3Ibi1B7TutIJi2TVTNTSI0RTeEqkkklk8s4mhqui0Yt29/TnWddWyFlwLc9xqA9UE9wg+1JX7x1lTFaXpLt9Vj0VoO0/WkttEIqGUMGrBNYMCnVjGOSVkbGiGxHgiAmkWWYeSPbk8CRsbsp+kmmpQsQcn7ksScwXV1OrSt0nM9uBG7gHuHp2T8ppBwT46fuj6INueE2IfS8i3soW+GeCgGk21YL2uPZLUuGzHdTL+l+NpanlZlz1ticcUuGU0uqy0o+EjqAIoSbd+8f1VVFTgXLfqUtWj3OGz0IZpJIl3iu7SMBDjLTf1pzjqkKZc5D525X5x2YDulUaYCgP0jkXqDUeJwYyTD6QApbUbr0TpVc8NRBgWjqmZP5pBM8kK6vrTSwRCqdqaZ2snb2/a5FoCsuLTmtGyhdJg8WpeBN624SybjP1NWS5zElYnOr+jkHINFxp0uJjDxT6gNYnE06kzUz0LmjAYJ+lsnNeiCjcNGhXRk/ofPRomCSHkuhtpMMQ1+3qV20xmRoxk90nbUMQzdWMoR0Z3CNrBj69dXakwHJANOlpmaOf1zm6P6MTKvihsH09VuGmnZCvFOo6boxzqMbUcvDttifeSYSzxJrIGgs4s/3UW9cY9SZZzJOASUsP0Ei9lvGBxNYkpZQiwbLPjNWZpkJIOnrG+s4SRiglJmeSQuorUdaTWaYN2bEmGmJ83FDrvu8tMAdE/ufftdT4LXMmK9Vnm7X1kJ+qAXGIKAeXjQIqW2SO+ph5GYscOMtCzhz7HGfgIQWpqtVIFIsTXNRb3x0x6RGni6fVugpjEAi6eZwD4oBcl0OlGuKFonrIrEyTqOQMuhsHrWMT+naTIBC3wZSnjWFU6bkUYhSZwAKrUCBuC6ySWCGQoo221cKAMvM6xng17VIW/zdmEEiGLUY85pAAAP0CmX3S+Vm0uwbXY5bWSz2kceI5/aCFuHHd4SsH636TPDq36bb4r25udY2CVJIEEtm8cj4pvGirQAgAw10ujQIqW0SwofEnQgQGbpMGBipQkLNU8Egs9QXLnMQtZcZDmA0oKEMmmeCWdFu6V7UtcTzQp9lOGatEFXkfiqfzyMqtApoh8yI+pvwUnIvEolCtRK0zmRuavkyMOG0QK+1wmijfSplYBtrw3p5TasUQWW/G7Mz8wS/5cbI9Pd78rBtFuzBia7Gd4wRZFJcx0dmznPEBRQQkOAB22DeQeNsZo+gToBeTsbYKcO0UihFWsQKVj4kHzX9lNcU8k996lPHcQwFc7pZHGctLcr3d9BoKhuZ5864FONPX/Ie+tO40UADbZcGIbVNMn1KBm+hdMsZF4DJGBPKJI+pAbebKCFdQ8J4Ex2odZToM7VlBaRMNF1sat8KPO5rN7dClImL0DLN9pDkni33PGll8E5zlPEuEVcGr0Uq6sKyTnnMSYIVtDayfqK3FIQyTvPJ2YZ0tfm8iKi0zAxmi8RLpFzu0xJ1lbEp9xxlstwEHAjbT0ScCM2TxfIc5wzwp6A0dZZzI+eb7xHwkH0jNNl7nIuZU9GyFHhe04XrnMssJ4PLbaAHiwbgxDZJayNztaUbDkqwhP/KkBOg4G+5fwpCa0ZTFfljFnQoraaMKVi3vjrk3zLIRHO1sZY8bTUh75Jtb9M+mYndlEJYTb6rBRGku0pqwQhaYa07UiVgK8o+b6+nxp8oufZe3YCMB9sBEvLexgXbZ1tC2BFP03LmSI90EU4Cw2B92U95tInjk6hMn2nHsx3ntPIlhWbGD7Mfs6x2XquoTNum0YHODQ3AiYeA+lBnfDJPXu6TksmbkTqFhgzfwLjuOVMd5ebfNj6VMF7jWO6TSovKo+axFoQFp6XVWh1aInzyWI507Sm8Uli7T0UoMe482pVuO98jiMBNt8bKrIPltwJEht0CR9rxSKGY7shMgZTMNy1dSdixIAH7Q+XBuA4gGt+hUOYdJve0DULUE8Y+iewHIejGvpgfZmSg/Eyma5uoo1nGc38NpAKi5Z8KiP3gHLAO7cbhto+z/9J6tz6t4uR110prQbcnPbdj3Cp7GXNsY2dtXbM8FBCUKhQQrVSPGhGq75pLIZ4WKCRwynp7qrR1MxSQUHvIzeZaqq2yuhBhgfS+WG6rDCfZn9OoOAxCapukG6XdEOuil1Hxu8wwkWYuAu835pGZq40BpdtG9xb3yVTM/uBGXhZdpieSsZgN29iIdW+RXQI4Mv2S7rvci5JgC11RLuBkSMTUZJLJ3Fik6UIyDYyuMEEG1jVP15VczHmtT2Bl9g+tsIwZ5rj2MVX3bkECZPhdFy330O/pKku3p8wy983lPJlEKWAllA0PT8zchfaFSoRZDsxYkspIbrbW3Zt1Eamo4DCeamysde2loMp9YW39ja/Z575TJpwnJOfczbFI5cznUjkQTMTzHhWS9cm+5BobjrGSRYraPyp11k/BoqIj+CXXpymsnHM530WeuiFa96wbwjMR7kooiGZvyX1xac26bvvAN+12mGmiQUhtk2D411xzzVhw5O5xTsP1mAesCE579dA2DhR0MgO8cAe9zxrY9lyo1ODMug7xDjX0JzzhCR2iLS0NvgvIcDMh7zSHWkLVZUSmJzL1za233jpmfI9//OPHAAAP1furv/qr7h0sPALslOuZRTDPzFfGNcoQZm+mDdxd/E7Z9Kd1MbHtF7/4xa6vYciea5WLVEaQMHEztguioK1oyViXd9xxR1cOjAnysELHLxmdTMH68y43CFMGZZGtwSwJjBf9xoe/LZP+oUwAFva/woHy3Hh6qmSqJc9+4sOpuKYw0uLzoMPMYG/6KIUspHIh+Ma5YdwPdy1jwRjAzHkXZIwRSsvCLRe5eV0h50Z157voQ67xDgAgWq3MKcaJ92l5eqClyXwVeDB4niNriRkvAM6wxjL9kO/1JGDBO9x/2223jdGTrB/mq4oVz7CGGUPGjL7nd9toZg0PpKS9XHN9KbxMp+XRMgpdx8dz4L785S+P++ppT3vaOOWRsUeT6vKsyOJu43GkGoPgN5RHvadNWA1CapvEhDLInEg2mY8MQJBDJpV11z7uLzMA6JoQJOC11BRFXeWBdbpY+GjZJMNT81Oj4pk8YTWZiEF57nPCW56CVFeFed+sl7vrXWwKI8/VkQlmX7TZG7QaFTC+w3tlVKlN5tEQCXhQK9cSy8wU1lctGWq18tblooWk9gszSeFCm2EGtNuxTYuB+3TlagX0xRBPhay/535RD1M9mc/Oeiak335t3Z5aeSnoE4ji9bRiHV+BMM5fxttTjyHjZ+mWzgwYmSbIjdnOOdMkmQ4sUxxl0mC3V+Tzzkuey3rbZrO06DXITeG+mzH2nQrUtC7T6sv9g1pCmbMyrWeRqSpB6bp3/kDZVsdMoe4adv04x51HWZ9USKeJBiG1TTLzttoh5EIQxmvsgftgwDJdJhALwLQ8ujaMXWUMIOM3Tup000EycjR7XU3e07pApIzV+Ekffrr1eB6rR0RYLm7jNVDmKNOK0ZrI6y5KtVSRYVg7CeSQgbkZWabUujhcmDkWPmc/mOGbe6mvArTtR/9NIWV8MAUk5cnEVSqwOGRCaK5QCqM8H8mjT3T/no6Ga3+pJJlkVXec8Q0t52yX8zJjgTl3U8lReDinFOK8F6uCea7iw0d3M5ajTBpLzI3aGUPqi5OoBDimecSGc81M/CmgZPRakLaTcQYWbxt1oRn75b42ea5tRwFIRRHy2BfnsQcd6rK3PzOrvfPB7R5tjEp+YN/oHVkLBZE2JFLYOeyayvpDGX4w1CCSdppoQPdtk9ROWmQalIJG7VaGr9aTCywDya2/PH/nN4Ph9IWCgj5h8Yr+U/NrA8UttTGFdKOpiXpP3yF+mUkiGZ4MSOaVlIsvXWoyuXy/dbCcRPO1giX7K+uQ1q1l2v9tPKrtG8vO1Eb5rgSOyBDaGExfrMw6QO35WC0Zh8t8d5mZI9uU/WhMKYVtCogMuGf9TNqablT7S4aXwI/sY8cIN5djpyCz7faTdbFd1inXjjEpXdw+q7svy0zFwr5v3fA5XxIkklZduitbxc66Ot/dj6d3Iuc45Fjogp0Uf7QPrVc7ZntHewsT4ZrzN63/lpwjfQjZc00Duu8sk4siXTZOtAz2ysyTkbULJidaTqI+AZh7fAzG6n5Ln/SDTek+6OuL7WhpKbD6qM/9th3a6l1nSlqGp0q5p2orMuakxeShgFC6Kq0D7TKVlummtDpapFvu45LxmupKweI1hZ5u177sJ34yk0cG7hPF2adQ2BYZcKvIyfRbRpv1yPiajNkyMzZn/6UlqELp+VSCUuwv78vyMltHClyFi4AfhVQrkK1z+57F2BaQqNl0daeQyvmc7mOF3jTFos6akHrnO99Zbrrppk3Xrr322i7AD8FEf+mXfqn8l//yX7oBe8lLXlL+w3/4D12AchqJCUhg18HHteKkMWaUmRacYE5cXXteazeYih7y7CHdV7mYXTBYUCyq02GSA00HAVbAfYagYHwRPDLGtDIVXMwTgBlYMwBb3DTNd1NQyZBVbr71rW91jBKgAecTcR9zinthsB7+iMvXU44VeMb2tHJ5xqMvuMb6170K6IKP2y9SsBkjsixjOGYCsd5muMDdKGAAEoxg1nzh5IIMWJ+AXYznGR/FRc7vfEQu0ge4Gt2k3Vr5PMu7GRcFrEhcM7dw/1Oe8pRxHkXPlcocmLjxeJYsJykAW8/G7tF5Z7Tbfs0kysa3tHp1K6v00rfd8SIj63da6KxYUqRf+ehHP7rxknDPvOUtbyn/63/9r/Lf//t/7ybEG9/4xvLKV76y/Mmf/EmZRhJerEZpmiJIF4Axk9wDofsm3WMuAkjGY8xCV4+T1UWdLhD3MBm3mbYA6UCTSSWnhTgz7nmcScZ50tpIF6BzNF3ICZQwKS3UHiOhkuX7XNsCMHI+GudJKLoWhYeCypDTddlCzwUHpFtS60NEZhujFAzEe3KbhjEg65htsm6Q5bnfMO+RRCMKLlFoGa9Ky0W3pxakKLzM6KGV2Y7RchxUad+nctqCIpwnaZkZEujbpH5eCik6C22sJbS/3/md3ykf+MAHyo/92I9119773vd2msaf/dmflR/+4R/uLU9NSEo3wrkmhZTWTwopJ1UmchV5kwu4jd94P797RLtuAQVXK6TMh+dC0+oa6OFBzC/mjglj3SMlydhSm84YHKRrSgUJ8r5k7h5v355DpmBwzqblJONMYEQKMCiFIO1QsHWn2+7ePT6hV5CGwgfLRFeWloWbms1/mAIoN72aj1CEXZ4AkAdE6jI367vXPVU5QSOuvXTni8bjfQlOoH2Znsv1rUDxKHv7W+9KCt/DI5ej/Z3bBkSK6mmxnBRmtiVBQuV8F1LscWBfEAP+vOc9r9x8882dKXvLLbd0HfXiF794fO+Tn/zk7rdPfepTE4UUz7cuxJ1CLCDaKyPA/SCpCaU2q5bYF8SVMqCtNpxaWQaKM6u3z+oOTMhtu+nyTCkn+FaB/lMhFxK0XX95ovnOFaXCkf+e7JkWndhHuImYa3ncRiIgE0CRTJRr7gXib5CHIO2SEjBAPXDNadn0jXHGTq1DxnRyy4SkNUNZ3/jGNzoXF8R73OelK1EhZTtl8hlL6wN7WF/fa91T8CHo85iT3EyNK4w+du2xtyitFSljStbLd3qycG5zYK9TrnfbJVLUZ0EJpvBMt+JqHBmTllCGBfwtBWSOV0LXz2t03//+3/+7WxTEoWDYCBf8vWwI/dCHPlRe+9rXPiD4/tznPre88IUvLP/yX/7LU7ak3Ei4U6hFb2VMyrREpvtRo2sp96yo8fBRC0otzsWTPmmp3efCv+7/cLKn8OyjFsEmJSLrVIAHGW+QrLtatK4Qg8qtP/5UkHxaj23C2Bbdd6qujqx3H0Ps+1vm0ioVbXn5jFaNsZhJY9KCBzKLfjuX2rb6t3vV2s2cup+yDr4v623dJilYjqv9oNegFdpZN61CrQvPO0tEac4x10QLNoK0ABO4ILw/0a4tSrP9N5VBEZK6ViEZfQtS4GMWDqHtW82fFhwhnxAElXu91hs3pfVNhUXvjOOYlMrLTqOHHN330pe+dPz305/+9HLdddd1Rzj8t//23zYdinc6JLJpJ1PLOJlsV199dWeak02B+BsBWzU5BHguGiakO+TNMmHgGe0SDU2NDYHDPXxQBpigIq34uIEUDdUUSNQB5cEJIcPK97fMKOvnJOfwRN0Z1FckYbp3dDVajvn7IN4LM7H+ZOFw0yuaK/1DvXOBpzsqrY5coNSLemApyIR1c9Bu3pWMZpKla/1lRNTbs8FSOfB+LV0+gBIUHrnRWUbjvplEbOFxoL2AGwym9xF1UEHgb4L1bkzWZWSbZPwqEcLJEYj0s2eWScxL5skXvvCFMXO0v1RG8lhzsxxQlxQGlE/dzOKBxaRQtG9byLSkh8ENwOm2NC2XsHAFj2OvpUhWCccuD9DMOZ7QcuO+ktfS8qQfXbu61rG4zAih8BCMoCvfc7jcN5Xu/FQ0GFPmAGUw/5kLgEL42/1vx0dgKspMsBXlySNYU4BRaBvZWRxHBXpastNGZx2CToc/6UlPKrfffnv58R//8XFKGa5LIGH6YljTSsJXPb8J9J+MWZSSi8Zgq3m8nOAsjtwE64GHCjiD1un391ruzXI/lRoh76Y+pmWRWsbPR+itgeP08bMAqWcCNBRUatEQddeNwjXqoyvYtD6+y8A/AgdyEcrQ9LHLYFN4Op8oI8+TclOkyXxh7lAyMJmL74NQDHiOd/AMZWUsIxP2qqk7rvZPZhpXcKeWzscs8Rmf7CPez5jBxE0sy7gYi7RM6+TY0Ibc4Mu7ECJmNOFe99dpBXE/c4TyRcExN02pw1pNq9Fx9nnHFDe+md0VFCLUUikyj6LPK2hU6MxyosCgfgpIGbhjRT9xj/kT+V1LyHmTCm+6381uQv206oXbZ1opT0mmH90SoPXGXFEBS2WpdcGmsKKf+ReEM+Wa8smEwfeNrEvWnsqD5bk+jF/TNgRqAkK4DxevfbmVxX5eCikm91e/+tXycz/3c+VZz3pWN9gf+9jHyvXXX9/9Tp4stAZiVw8XYuKwSJysLHgnudoYk9lFwaRkQmLttEJKiwhiYqHBMWkzKKrmqcsk94SYjyxRQx6gmKlx0qXgh7gB17hfjdgNhemKyL0yvsvcdskQFGxAe+0LF7OMn/bgypUJCVPOZLguvnRfyeSwQIXiw9D5m3ZQb5gL+Q0hFn9uwNTqcAtBZqmAOVAPEXOeRJzxNJmUwJZ0haZ7B8oYi2i2NtbQEmUyD+i7FJK82wSoCjnHnXYhjExMqrVHuxE4POtBhglbpjwUBfoSpuZZYabb4jefS3IuKbCYYzJGx44xcM8WxP2eZ6YQNfiv1WeshrpTJz0BPMc9fDIrPfep8PCsypBKg+8xT6Btpzz6zHPPdEHnfi0VIpVDrTYzmVA/xkmLsN2Q6zx1frufTfCDSaIZb+rz3e9+d5wqjLIV0pZnO1XKKJ/1mu5mY1+UcbJN4+dFTOqXf/mXy8tf/vLOxYfr5R3veEf57Gc/27kS6ORf+IVfKH/4h39Y3ve+93UD+aY3val77k//9E+nMuNEHwkRlpGonbeap5NUwcKEFE2kdiUlg9P1x++ipFhsIoLMo6Y7gftERHIdNyQTnaSoCZG1Xmr5mZ3ZurpXRRdOunxSWBic1vLRDWnW7tQm1dZFceG2cCHLDDKQrsYMs4TZ0h8Sv+mqM2MCv2tJOm8S6WTwOjVThFtm8nATa4tgSy1ZUpDK/KB0KbZoN35DkG61bUClRddjWszpIsw+UmhkHZw3uiJVSCDmn9akzFDAgdYU9JznPKe7Rr9mrKON/ylE7QfKwyXH/ER4ulVCt1uOt31v8l3jjsxxM3poxbj/SgEs6lFhlzE8hQH3Mg/NB8jc1HLimlaowlMPQrrsHEvuVbCBVPY+y3GMtcTbeLDr3LLtN8o7evToGDlI+IS2Mw5ab5adik6bUYKyPJZnp2WbOCcxKTbP/czP/EzHPBBKz3/+8zt4OX9D//bf/tuuM7GkcjPvNFMGcp2MueE2F42TO+G2uZgzbU+LFoNcSDIBzw/SB517Y0y26XMuVrNLZ6A8YcsZA7Ic66QbL9Fckm6+1B7T4rNuvF8B7qJJZsekTSFm/W2X8Q8YFgwsD4G0TPvPemcOQMtTSPnuFCqZOJc+VNj2Be6z/X7PMeyLe6WASmt0EinAsg5Zb+dJvm8roIjvsx4qC46njNH3+jEGpAWRVrjtbvvFecAzot8oH8aZbinnneWk8NMF6BzMeevzunbz97YfRMz6t7k0qZf351goLDLpsf2vopB5Bk0Ka6wwLbFcK62V3c4h67IUORNNpmtMMdd7WkjJNxyf5EfTRkPuvm2SfvbMNdYG/ZP5CwLBBcgiJfbRgi4yBkPZie6TcKWgXXv2TWrgLsw+ZipTUjtUE1QbVbtm8vM7xDtcmHnsAiRCj3pSJ3zfJqBNoUJ5WEguMu5FUCNgdPuZqNUd/slg2nfqUkrmme3Pf1tBkgLJvUO5hyapjSck42vfIcJQRpXggKyfe4IYP9qfWbu3orQ0sp7ZPhWidLGlWy616TaYDwnaQRCZfbytf6b0yrOS2r5p+9D6t4I5LZPsT//ODaitULTM1gXt345Z9lOfQEwgSW5naJGMfIynel6bVgrl6IpTiKisMNbMeRVElcd2brpWcp2tRz/Y58a4XcMYBWa2YZ05D03Ku5NBE0PuvrNMAgGcCFLf4uHDxJKh49ITNpvPQTB7nic+I1JMKwEmjruCMox/qPF71IHvaAVmLlD95roLFVK6OFhY+rL5m09CY0WXEajlN+NwZmbOxKK8z34SwWR8R/edlo6nlrqZMtFJfAQb2B+5G79d2LY1255IO8g4lBq5dc9FxDMoFi2zTM3aM4R0T6XLK11HxkOMPdI23H3tHErKAw5bbT/T38gk071rTMo28qyuNjcIU77xEE+n5TdBFfzbCjYBIgqgVBjSQstxSUsQBU3rzbXgPHdd+AzkenJ8XGOOfeasFPjCPNPqVpC0+63oBxQxhTpCWisp71OhM85LnzifFQbOgRwfnjNWRghEAZwHKqalZ99BK6FQ6IJnruj6FQhE+aJDVS7lBXncSCoV00KDkNomCUTITNAuYBmpi5cJJ5RYxuDu8ZyIusRgGiCk9Esb3OVdLBA0JpkHJIqOMihfSG4KqdQs89h04a4ZpzCvGwueiW8gXYbI+2CGCCnh7h5RLtNg8RvLAL1E+aLUZNipYVtXtU2ZFe8SKQZ4QMarO0QLYitNO332Bsn523hDMgfdI9aJcj04T7em73K8YYh8d8OtLiHeAZNoQSy0jX5DSKGNqzD0kUqAY5rWs4qKwBZ+N8bCx75OJCKkYiIgQQuPf2kDxLO8F2VJb4FoOy1QGb8xIvs79/opgBMkoaZPX3mQIv3Eb/xtXZljushVahg7yk0Ah25f7tUNTt35UJ6KTm4bsCzPdKN81px9mvepzKloiq6kj/RECHJK2L2Qfu5TWED0O4pPpp5SCRAheSKODbEvUGBVcoyX0kZ5g4dpWl8tdQVpKnHTQIOQ2iax0NCO8igAc5OJTDOpIxPZXHy68VzUCgonq4uQjdA5qbSqQC1lpgHK8GwqmR2TUg3ZBKNMbnOG4YdvmUjCbYX4Cg9P15dWEmWJ/OJfmRb3e1CdFgqnpWpZmOZFZkt5MnCBF5Rpcl1huQbdLdP+QFFIwIIWVrr+Wn+9mbllgpAAC5g2daJ9Zh8XcQUzNA6R8TvutVzJRKfGuLQ8ZOIZh9yK1LphgsZ0PKYllQ1Rbgr0dj+QfZzMy/ikz0IG/R0HQRXpzmtjcCnQ2w3Izp1k3mr5PKv1Sf96SrJj6EnGKmQKlnSl6t5SKVHACe7gHhUs1qX9ZbzGMVGBUDFyPim0WMM8z3c9Bo4v/ey81gMAOW/tSz0QxvxyvtiPoh+XlpY6YYbgcUxdN7wf8JPvEN3rODofuNe9iqnATQsNQmqbxORwf1NmcsijsRUe+vkTncUET5dWuptE5SVUWcbqPhe1MH7nmgvRAwIhyuc33ylDak/mTbeUzFW4sJacDCH3h9iu9K/zzkwPYz/I0PN0WsuSgaYlJVRcOLCL04XoOxTClqXwSyu1RWb1ne2jIM9jui2L94pK6ztDKWMZkn0rE0tLNiHsJ4sZOPYG+ulzXanGwKBMUGz8KeOZtIV78ugMy0ttPvcLtcH8dJelkJL8e25utnS/dvdsWBXdn+u1LmmdVWtsI8dctQTrXHfcVAbbbBa5Zjb20lUm7dxXGKyvG0Or9cmtGHV/Ul2H1c3L/EC5YK6wsbgqSDnfVT4Uqq2QEsFb93ThLq/38f3++0nDlMK/PnPs2NymPWQLiwvlxMjy9Hq15k2HhmKIkGJ7gnMcYVb7s/UwTBMNwIltUgY7082XAVRcJy0z9FlILbd19XBd14IgAxdD7pVxofUNJf2U5/ao8avJnarp7/Mm0HWhuABT+9M1I2NLweDvanWp9abQknTnKPSSISe5b0kBeKbnWilE1drTIvM8oDye+6Ei3m3MSEsxrdCtyLFIl6fuyrNB1RqeLbt3zZTlFSzF1bK6xjyLm7p517eW2vyHrItTi6EwveonXWcPfMfi4kYMaGmJuce7qsJXXWf7O+F09933jerI2CM08GSgTJxaXsb2vdCePaxZXOFY1LV91n1hgfFhnHiP9Spl/wE2oqM0rZblperB8P3cT5/t2oUQXimrK2tlYdGN1Sh3G3yHflxeHiDo5x2J8lFoeFicmyllmDLhtLbU7mUiMsSMc+jmMZWLzMVzgdSUdTUpNBVcus+4XwaVgIiMg6VVJfPTVWGGA9117uTnO3512simbBmf6Zi09jLbgNYXf5O9QJeh6DjcLOkqyZjeJMr0O1vddzJS29RSdYz87VyhpDKbgy5Jx554ivPFcVQQ6fI10O55R84H5yVkv6mEZIwu2y7C0HuNf1Q3JGALADQL5YIDS2WlsxqWy+rKbKk8V8uWeUDfotzAQLmGEoRnQDi9Qocxqfdokc3NVQFEGXNzMHaED3WF86917+L3EydoRy1nedktIYBJ2Lc1X+6/f6WsLK+XtTEiltgpru35sriwpxw+slyOn1gtj350dakePIhyQF/wXto+MhTHkO9axW4MQnDW30u54ooKlPj61+/r3rVrF0pmFTYHLlgoC/O0babcey8WEEoSp3BT37Wya3GlrO7B9eg+vVJm2Dy+a75ccsm+cs89bLwmfIDFOV/27N7dCcOlZTZt7ysnllbK4UMVpq8FNg00CKltkkFLGYcpdMyT5t6NZDQyB5lvCwLIjaZurMT9ZMwHZoDmgXDQBZb54DyyQRCFQX2ZmAxfC0hLTneKzM/0QryP99M2YyhuEuW9ABlEqLlfw1iYfWTmDF1IBqIJyNNPPG/OPoP+kP+eTPBsRzC1pLvrbL7jdEk3JIJGwIXuWIELxlIcc6HRpucSNSk61LFW0NhmBZMWcbpktSgVbN5ruSdOLNWMCwc4DPBIWVtHeWCs58r62kxZ61xba50ggXnCiI8cqf/Svfv24SanbKzsyrDn56tVAcNeW2OuUi/WD0JorcwvzJb5ObJNLHblrq4ul7V1BOdMOXJ4rczMljI7t16OH6sKyO49pVx0Iet2sexaZN0JW6/C6rLLqrUzU3Z1z0JXPmKxUK2FBYQ//Y5Ln/sQMDzXvbosLW8Iu7mRkOU5xOva2kx55CPrZuw77yREQMoxEJKM10y57HLSoJWyMF+tXqy2pSUyUsAH1svM7EhZWq2WKp/1AhJysTzqqgPdc92zczNlcQGFGS8Ebu31snf/BeXYseVOIGNNDULqPCIFSevSgrSQHv/4x2/SdHWV+YwCRrCEqCWYOYFRPjJ2QRcKIdFBkuWbJ88sDglpNZebucdEeMnkEpxggFrGlBshhaXr8iPLiDv4Pd48A74EsXk318ylps8d5J+xBMEBk1x75yPRZygJWJ65+VZLO5GBiWg0d1/mruM35iTPul9H65FnLNMD/BRQWL+8AzSnsPLM1vHd736vK2NxcaHMzS+UldVSFhdmy949C2VmFjclyYYJ8Jeya7GUhUXWAXnlyGiBRUUMCfcUa2euXHYZGUKY74IJSjlyuP67b78uuyrQEAPHj+MRqH2wfz/WEDB3vmP1UAbK4Xo5cvREWdxFuawBrMaZsnff3MidVk0h7r3won1lZhYU5kqZnQHoMlMe+YjFstq1F2UQcNFaOXoMzwB9RIJc+AEn5pI5BmDNWjl8CGsVRCPKKwKbHJjk9ySN10Kp2wpBOJJJY62srq2WxzwaUE0px47jJSFmt1Ye86g9ZX6hCmaEOe+/7yCu3mqNXXghoYHFcvQY62a9rJflMju3VmbncGuulrVVzp+rAniaaBBS26QMoipgtKrcU5QQ6L79IsaTBFW4/0TwgG7D3DvCbzCNPLk3A7VaQMYt3DeTiELdgu7vEJwhPNv9RMabeJ/PZF4zXWIJVFDAwBwN0kOmcslD6Py33Wg60AbZx86V7Ku0zNPlKyDAZ7S8/FuEpuULBxfMk7ByQTnCmnNf1EYd6h6pJRSw4+tldW25LMyvlsUFrmNF1VgM7jYsIkYYF5yWCQILIQVVsEJl6NwDE4ZZHzlahRkWRCekOreaill1I87iHlxb7SwPYjtIlM4KmanlIhDn5lbL7MxyOXG8uhC7962slpVlhA6ejwpioG68/+BB3JxYR9R7nWj+yBW9Xo4dR5mjDWtlbZU+Q8ihgGHFrZXDR6hTKXPzs+U4caOuTbQVIMZqOUq912psqRNSeClm67paWqYN8Bjco1XRPHpstSzMr5f5OUBQxKFKOTJHfRhX2qdLerUcO0r9sSQBqfRvWN/pNAAntknGWrSKDGLnBsZEQ00CT0AOhQIvXWv8lmAMrbYWfOE72niKVlJuWFVIUj9cdrRD2DjBzIydyZASEJFCUYtSEISZrz1DK6HLKawFTwgIUAD3AU3OZwISb7Zz4edJOWckx0IlScECkWiXv7HS23HkfrOgc405AfhHoZj55zw9Voj25kwJxFdNt1VjMlzfu3du9GG9rJc77gBBaF5DAQHEb4j3Vpc0lsRdd1XGzz0zYQ0IiuuuIwxmEVvdL1XUUJcqWqrwWR+54WZZSxUIgaVU7yPOMwIZVWhid/P6CFzRXencePWlXZuIjXXzdb3MjpGesyNX4ShOVda7unC99jWV2JzLcWG+gjP4aCTOdL/Udj3mMXu6On7nu8fKpZfsKhccWCxf/wYpqqqVaGd0rspRTMz27d4NpH+1HD+BolEF906hAThxlilhun6HXMRQoqhOVSfw+YSNiljLMhIxl+/YQEf1/+szfognacFpbSVZlxZJlsLQtvtdFF/Wp6+e2c62zQNV8ryizCFoXzK/PMbCTc+6Tfm4D8y0PG4ehhB8QsH1AGQmeCH4LaBCMv61uFgTGR84MDPew8dtXbaHPQtlcVcFwNxz97Eao1mvoAa0/5EHuWPGTKFqCdZYyv330zayg7OxmKPUT3TWyMwM3LyKjY4dI3TmRnN8JIWqhbXB7Gu16zXqADO/4gqO/Sjl/oNLXTyJ+uzdQ3twZ893FhKWCXWpbR+VheCYHQlehM/6hlCrgI/RD6AG50b3dcvDbQtdQ0fCsgo86o+Qo9xlrEWl1UwVaPfeu9TFzE4cZ//Xcjl8CMUxoev1X95d21vrUgUfc2atc78udUrn9KyvQUhtk1rI9Nmk7UCGT/asTOtMy0mr7XT7RittoMmk29azlPIARzOZkFUhj2PgXq4Z/+Rv0Y+ZfkgS4o5WqztXq7bNCCIJ+9fNnUAL9uwQnzpwwf6yf9/xsrK6XI4e4QgUBJt5JTneRci4ih2xT1x9QLEB4RCLBZVqQuK612rM+EfMPqHhI9VtJPSqIIB5VwCDgIaZcsnFCFfcjiulHKtK5p7d9Mt8ueRS9h0hbHHHYSlVAaLV1wkA6r3G3KfutU/8fdS8Mr+AJVaRiMSHtPY6UaeSWWrMC9BD53hZr7G5WS3GmVKOn8CdWAXpkSOr5dgse6MQ6CGsO2WiClPqB3ikyrpqUeFSFOU4LTQIqYEGmgJCcGApcRSELtG0pjzihcwQxvtE9GFBIWREhAqGEAgj2IWUS1w7fORI+eY3vtG5FQFJeFq0gpHrAnjYdsD+vTvu+JuxlbU8svQOXHCg7N9P3rxd5RGPRAjOlyuvIKYDUAj3M4wTFx6xWCyR2fLtb/O9syvK6kq1enbvWiy7dlcX4aMfjdm1gs3VxX5OHCfvY4WkAzjoYj+d5TJb1lY5NwwIN21f6Cww3IvHj4PoWylLJ1bLIx7JHsTZcsWVCx2A4+67l8vjHkfyVhSB1XLllQhx2owiBdNn7yIWZ42X1Vgg9ZnrhAQADe7D+MR916Hw5ivcnmtYMwi9+XksSwRGBTLQ/t27N2KLFQxS24FQAdkI6AKr7q//+kjZvQuFYq7MdXBz+oYY4kyHKJydPTaGp6+uLpSVZTwlnC1GzsYTO8rVdyo0CKmBBpoS0kLR7drG+HTVatECBz90CLDLxplR3sOmUBRvEZYKPujYUTf6VqtLNzCUmTrcNuHWiY0N2RsxWRi5mv/8PDGrmh1hvayWggtqhn2CPFOtnioIqgnSQcLXAAosd4g6XGQweSwFCCN96YT7D4kLYeWtdzBsrBtCL1zj/cudkKh/A3AAis0GY4QPgot3dckwuvZ15lkFPozc4bgCEXq0Z24W4UQsqULj66bbap7N4fZerXWjTbPs46Ido2sjMPoIUg84hFyCsx1w4kQH7Kh91rkLxxna17p7aT91rc7G0sHeZyh3hnJ470xZHUHia7wLC7BC+2nfSjcW0+dKH4TUQANNAZkXzoMqUxhljjwTnfLbvffeM0Jgbs5KDp04Ptq7N7+RqXwj9+BGNpB77mGj8MYRITXrwrGxJXXP3feUY8drKq76+4i5ro7yM87UTa8HD7JnyhQ+o1x167jWOGaeWNN697nnXjb+VjcXggBmThyqszT2ANioDLwDHKzUuNbCYgULYMEhrBYXQBLiTqzMeWFhpey+h7RSlUnzb7ePaW6mQ9dJCCmaccedoHW1yLqKVkfaKIPFzCwx6NlNv62NLJ/6TBXUXZeMQBnVsmEcq9uN+6gbwnPvHtC5eQ4ZwraWsbICJL2WWWNbCKRaTiewdT3OYSHFhOnwITNlbgblYqaDpXextXGGjemhQUhtk1ysaqomeM2d/AkaaJFW7TlRLcCgT+vJ+/M5YwOZX+9Uyhto5xOCYXkZq2UEJ+92j26crwVVsEO1gvjp2DHzBZpup1orMKmK8qypeHAXMX/vv78eSSIazzIrw42DN4F3I/QOzdVY2Uotq7qtQLaNAB0rbAhH8AFjN6t8epsqaGJpea4sL8F4EUikUBptgN3AHnQMHouq1qkCCojzIFh27aquLhgwFzsLYn0EppiZK4u7ZsvKMiCIimzbtYv0VoCDTmyALrBGsaY6hF5FD46F+gxtGW2N6MwXcxnajIod7ARbJ0mwckb3dobPKDtEPFNdnbVfjx1dEYe4gTAcA7HWR89Ul+DcHHuwal7JThkxA8qErU8bcUvclRvgpmmiQUhtk/T153lGumRSMKituvEX0oXSZopOBFUfZF0hlJRQY/PhGUD3uVM9BXagnUfEPSqcmzEduXpGMGNItHQXzekQXXWvTt3LUwUUTA5GJbJLxlkz3HMMDIKkPi+MmUA719y/VKHRI3fbiHl2YID1mW4f0OICmS/q/CQGQkokLJcuZ9yI4cqIuzK6PUUjpB6WQ8dI2eHTEFbRyDLZINGNo9hNl15pM7iHeNPs7FxZW+S8MgQ8axA49rGytLxUgXNdH8yPUjhhnYzW4sJchaNjebIZdg3bZCNZLrQRQ6oVY4NwV91Ngn1j/bv2eY9IQzY980cnCEfl5Flc0vo6FjPbNfaV1VUTzY4E/0jAQVh5oyfiUy2/KsCna+0PQmqbBGLqec973vhYDo7WcI+PgsvNswgoszsT4HZDJpBffkPYuQnXw9M8F4dnTDJqhm7jBe5PgXifaZYgg+g8gzuHrA+4jDxmYKDpoIsuIgsEpyUDQWeD50pnIXQKy9pct7FzYQErpLrJjh+HyVWhQtoh/t23F3Qaf6NVw/Bqmp8LLtjTZUi4805ORMYygS0Y4CdJKRtSsfhh4Otlz17yO5Zu42tVzEq5594KliD+ddmlJDQu5ZvfPNTlldu3jyA/FtZ6meviUqREWu8Qbp0FRt2Jm83OlcNHcDXC4BGO1WXGc/U+BCH1ninLIysIy211lcM7F8v999eM5zX7fxUMWFlXXfXIcs0113TbLFgLnBcFmpVzmWDoC/ML5eJLLu7263juF6hE1rSb3cl+TiwNMIJ7w5bJvn/oUHdAJO5Nrj3h6sdXJTEFwWiv5Hz33PymddmlJ5ohtkbuy2+NFchHPvIRo/PHFrs+oLh9+2qyacAwtDOPOkFIHT9+oqwsw0/2ja0nTbf5hfnuGbYHuJ1hWmgQUtskN7qarDUzjudmXg9UM3uDSWRN/GkqGuMLpMFpN76ajYLJa6ohyM2wCkfPF+rgtCOBRdojD7nLNEoDTQeB5Nqzl9OS50cB/dIJi4V5mCYWtEAGAv7Voqh574Btj6yAWfLNYe3MlBUi7LjsZissGcYPQqxu1p0rq2uVWXYIsjmSw8IpKwR7z+6FjgmvzNfYDpbZnmMVeOC+Hd5NaiMEC0wWJrm4ULMugICbX1gfbV6tFr8pv/bvr1YiQIIO0EB8CiHVWXcVIYig6Pb9zBB/mi9LSwA7WEuL4/OW9GSk69vMLBB/7927r7Oa5kbZV2oC5KoMWp88VkcLRCFF9glRlusGoNw3FgcZYiHxjo1tA/Weuh/xRNe3uEwTPu+a3rd/XycAq5uyHmWzkeVjlKZs5K50U/L+/QdGCXVxs54Y84FzmXtyOzRwq20Sk5Td+FgoTLprr722m+RMKPesuP+ED1qMh9aZLR0h5amtxgQya7mCC5gwRHlqQiaj9QhrY1zuhUHwecQ9WqLZyweaLgI0cOAAyYZJd1RjQAcOoPiQPBg4d3WtHT5MkJxNsMwL4NLAlmv6IZjW3j2zZd+++bK8Arig7vEB6n1ifbXsQ0jpwjpRGX2NV3XbVcdZDRYXUbawfio6r0s1tHemc+8dPkyshDyPxILmx2mDDlyAwILhI0xrLIq6AwDgudkOqj1XDlwwyoLexWoQYDUFEQIWIaW7/NjRKhyweDrI+nqNTS0t1YP/6AsISwkgyN133zMWWkDuYfJuWoZYN5S1a9fF41Rf6QFR6Ry71bvMEQiJxTI/Nz+ODVWgynzZs5f9V6ODB0PBpF2dt2Pfvg5wQj3XusS5fChjbWQh1uTNF7BnrTsTCq9JTT0FIKZ6V9a6PuNeeAf3Uf6FF17QCXLqcvDgWlk6caLjSXna9DTRkBZpm8TgY/UI42VSOfHbIzrMFmCqGeNH5knTdedRHEJ8jSX5tzn2Mm+abkQtLrVHN1gipJikZCTA1eiBh20M7MGaDpnTT9IFmRkozrRsaKdtAO5L+7Sd+5IuuwxlhrmCYsT8qdBlLKPLLmPfUY2NwJSIAZFzrqbnqZZVDcDzDIy1ugShboMnStDoiJZxGqwRyAFrRzi48Q3iImZv6NL8ANI4XlMW8dm7t2bwB/5dN7piwTG/qzVU31Etve6ojhNVSHWCarTZtT43QsiZjqizGGqsBsFjzGx9HQuwukFZhzJjCCFSj52v55JtzHPLNebzwCwueajlGL3YWaQb12pOy+oKhFA4a15M4ny1vDzBWcK1CQBFvmFORAkBivW5a3HXCIRRPS8ba2ojmwbWE+NQs5tX134HzAIFOuJB9EEmCV6forRIg5DaJpmzzqM1FCDGjPIwv63QeV5XYOhySMCDp+62aMA8FRYyO0AKLWJnngNlhvO8z+czjVEuqmxvS5neKDO7+z7bpruz71ymPoRjX/+YDxAycWpfGqg26Nz28STKtFZtvba6HxK4oqU7yb2iZcy/piQ6GWFF4Xqr7rG6v4eqwaSrkKrHTNx3Ly6kjXQ52Q99/c21PHbcfTrC1vMZT5CtAgarqLrC3DtVx7a7c+zKrkCNCuCw7RvlBfJ0FPz31N4NobG5/22PCEYPK8RiygTH8cQYIOK88bDPLG8rGitxGWaKL30pv7aaZ9n3OX/a59tnZjcJqc1155+qiPSjedMS3Gk05O47y8TE9wgFj0xAmODqwwXI4vW4bqyXPFtJCLrCyCM1tKBk7FhqaGhf+tKXxses5zN8V2hzTcuOOhAcRijdeeed3T0eMsjkJQCrW5DyuUYQmPp7ZpVHsmvp6SLJwwj90EbqAtPjPWhtt99++9i//sQnPrF7h8fCGz+QYRsry+O8XYiJdiLwzb8esqhGW4/+rm5UDwjkPl2gluP9CtQUdApwnnUs+ha+fZ+npJIElv5BISBAzfjnGV4+xz2MK+MBiIV7T8Y8VleJRTF3cAMhnOqGU6p07BjJTOvfa+uHR3ydZMDVxdwKBhWXWm49eoM58/Wvf71rP2266KKLuz5IFxF9CwwejX3fvv2dda7i8e1vf3ssnAjge3QLZd13372du80+MoWRG4JxdTt+XT/xXyR0xRqq1tzaWBmkLtzPXKnWyErXVl3rrdLDh/rw7Be+8IVx4ubOYomEuTUmt/FdRTP70HmRlqfzGGoRtKnweM01bmZ5foMnpJVtWXOj92EhOee8Rv0dR8bKPXKJ8rWOWpm2aVpoEFLbpGR4nV94ebmbTC4WFwPWHxOERc2ihImLHKoQ4Mr4Zdi6Afib8vTFC5xAgIjYMyYlExSVxCTld8+FUujJ2HUzigjUovLjAY4ppDxXKs/DkrnQPmNrMh7rQ/1gylqCWlqQCwqSoSukXIzmhIMElcDwvJeF6xEj9Avv0mWameTbbPAuXsvmOuXQTupNObptrasMxGwL9jv9RTupn5q7ZafWS99QD/6lrvyrlTyJYNTce/nll43RnLU4g+cVHL229u0uY8SxlWNdufSBTDstXfuad1Jv3VQKZdrPHHNe1c3B9RDPlZVDI5BDPTE6FQGuq3jRd4KKbD/lKUxSETNrRZ6JpfWQFr8CxCNscF9rpVE2daLN2e8S7VEw2k4UNd6f8zkVomTyba5C555ruD3tIAWGazfnETxBpZbfqL9H6CiM1yN5s3kWE2Al73AeuxbbNcXz9JcHjA5C6jwij0JXoDBRWLhMfic5kxFNkwlituqrr756rKk5+fJcKsgJ7N9OPMpAKyQPG5YSpJblfZTDovRcKBcCC9KJnALJhQo5+RGkLJw8+yr3YPFOn0ugBkyINrMYqAdMA+sCZmjOOM/BckF5/lYN1i+MhZSuKN6l5Un5arwyEcArQI+xShASj3rUozpNX6aplumxKrl4HT+ua+HBtGk/hwN6TcHu+3kOa8m6cL+nKNNvPMOYy/TTmnNM6S/P/fJaHxFToewnP/nJXTs8SqVq0xVyzHs692qXFaJawhzBQl10Q2vpaq1CMjoFgPNJ4WW9agaKe7p2my1d4cb9oljTcuA9lsu/lMn4ODftuxRS3GtGdhF2qQy6Vhhr+sF5S9kcnqkFp3KVQpnrCgz+pX9oh22y/hlH5u88Hy1djp6/puLh+lFBdL4be04XPDzBsVcpVHGxP+fm5rpyfIf1UaFw3uSBqimkNvZlrYxPvNb6nBYahNQ2SU0KN5laXS4CNRzh3x4ih3DhGotMTdeJowbohPM9ugZ4lsmNq0gLKS0N38tHC05mjItMLVOUEx+RhQgW6sgH948CIzVb6ygDyViA10Qw8pt7M2grlBqxgiwXmeWnUEDg2F8KY+rI73zoe/pHwc9CdDx4vwtT7TIZlznrFFI+o6augGoPrzRVkeOFa5O6+nsKQDXjVglhDGRmW8XKRGbibpNhb8TA6r4crpOmyPFGoFDu2PpdqRYOQfu0ECwHJmZf6Cb21GjIRLTW+ytf+com5FvGwBxT2s+9upiYs+xX4jnnYc5X14DzI2Mxm+Nj9ZDGPL+qHbN0FzveLbDiq1/96nj9uWaNr6XV6TrMMRTWLQgqM3+oFFi3tGwce+qqMKV81qaCsj2jbnk0d31PX73sI9uWAtr4sGmzpokGIbVNUpAw+OmyyYUhQ5O4H62fxQtjSJO9D+3lpNS9IFPj+dQ8c0HKxNOFwt+6GFrgQdbBRaabJhd7tk2BlK4VF2qmfDIhqRoepFBSm277y76Fgeh6oj5qzt4j3F9LSeag8Naa8YylFIa+U3cR12R6ZgpPhmb8JV2SKVyoW2r+2b5kLCnorffJyDbffff3R33EmMCEKrKrqxNnm402idbxPd6dKEtqIoiMCjWP3Eb8hWA7cS5Qc3mCMs8gEIFTW2/jGbU+S90c3mjXA+MvuReootEQbgdHwkDX12YAg31Rx6nrpWZe11hVBUqIcK1IxDpmNRVTKk72UZ3Lm0+Qpg0JM+ejstPGtSTneR4K2f6+uY83EL4pXDK5L/cwv7WeMjPNykjYtUqO5eT7cv1kv7n+FIjTRAO670EgJ09OaiiZoRoQLiEWBZkp0u2WMa10u2H26/sHOm6AOSck5ekmUEOF4QgCaBdcXz0hBBUWi0yYBdyiz9IdhUuThYrWncLQslLry8WZQk0XiNdcsDKOzLLhQssFnBq4rheZLW4lNXLrZ6yMthkboWye4VrGDCTdWMTAEDrcl+hE60Bd+eBy8uBId/crZFo0l8LuZMQeHj6XXoJVVNMj3XffSpe5ARi6KDhy0pmZ20SnFRI+OlhvlMPvSJfZYQPazfMbp+JmWq5NM2XT/Rvzp4yRhsDigYLXOtRNvey1IlsFZZlgtWZRUABVOLqQ9JpYdSOlkJuNu0wT3cm8VShZF2Udx1ZsXPcPIPbEeIi/4h5eLwcPPvBU41YgnYwtpoXXN34pNPJavuNk5U+6d2ZCrs9JZW71206gAd13lglGBzPM+E66ktJHzAfGzqT+1re+NRYuDJAWA1q/cQyugbzC7+9uc11xaLV1s97BjmkT8/Gdxl4MFKcmL2OEKA+mjsvBnfP4xQ3Mu/cqT4KlbgIGYO68V+sFcsHmoXz+mymc1C4FbOii4zfcVKLzEIIGpfXNo6Ckm0k/O//ST1pOCnn6XItFIUX/iAJECeB+3qcg0SpTqxWcItAhhT/9pxY83oA5Ekxq29Q70YRaYQgxDxfcipHs3o0Ssqs7U2nXrpWye08pe9mUS3ohBHGpgoqzmeoYsPkbFw/oz3pmUd2vVPdJsSkYC6TOBcanpi2iCggChUbNXADqcfTsPPHE0VERXYJXc8IRS5ztctcdPoyrrW4EriCAGhes1iVWAVnSyflXY3PVymDvEAf7VQWsCiySyM506Z/qHNoAKyioEMSkWSI57N597k2i3lgYtR1r62y25Tdy9uGCrcCBVsk4HUpX/KTfT+Xa6Tx/pmXvZAF1KjQIqW0SDIsgvUIkfckyI4+X5wPTEiDhKahAqrWWhAFD3EsQ2APnACDIRGHkCCju5Z1mlNC9RHnUy8WYe3NkiJSL/554mmljsBZg4pTD35nVgmeJuwgkoO4IUeopVNb3GctQeCWyMIP2MH3jSJSrS09YPUJTYWleQ4SJ8HKtK10uCl6sbZ6jjkDfFcQCPfxd4WN8SSWA39NC1SJrXaj0KVYx79TyQ2mxHAUf7xe0oBCkjwF80N7cnN1HVWDvK/v2L5WLLpwrl18+V+4/xNgw12qCWNxayyvEwFbB/JV7713uPrjzOktphbx79DmuKoQ8QgzXFr+DIq2JTw8dIjUQ1iMCrZQjh9fKnd9eLRddSH/MlYsvrtkq6ubdhbK6NltmylLZs6fm6fve97AeV8tFFwF/B/ywWA4fxgUHCq4mvF1bnS0LnaJRNwPPzdfs4wcPHutkJnVcWWE+zXUn5Xb1X+Nf+ghFpwo7yjp8iL5eL5dcumdsdZUZ1txa2bVY8xgePoxQvqg76ff737/rjATTQA8TIcXpngRHW/rFX/zF8pu/+ZvlBS94QfnjP/7jTb/9/M//fPnt3/7tMo0kg4Rpw4AQDkK+ZVT8rZYNk83NhBm4x41kDkCZGK404xxaNJSj9q6WDqOU6Rq8bw+jU0gZy9J95S50yselqLWjCc79WhOmdYLch5XZ1qXcH5SxmNZfTxkGlWHW1EUrg3YZMzDojMCwv20XlHXIlFHUHcGqXx+hI/AAErxhPEoBRBsTPejGW/sx94YJitHNSju0jrDq3ANm2xG83p9Ceyum2aXbIcv44ny5e3XjSIuaGV2X8kzBoKZ+d91FbAaBWg/16+baGvGW1XL33avlyitqmiGyV5DhG1ffJZfgel3r3IicSgvD37sHS6VmnDh2vMa9OC+xzl0+VQlheMgccf/Bem4TbyQrRne4H33VKSsoMhwAWMupR3rU3H7VxVgPAqwZ2EtZXmJOrpbjx6qQJV9qzUixXo4ewT1crStcntSlS680Om4dS2phYa1cdmk9xoNDDkleSzWYA3oiBjoPhdRnPvOZTWbwrbfeWn78x3+8/N2/+3fH117/+teXd73rXePvQrCnkRRCLdRZRqrAckMrJIM1FuO9fAzUKyhgspkyydiVwiKtEPdn+azIoQykUg8FAfeb70+rL4WE1hDXhIJnjIr3G8fpCyy3LhHdjkKwrbsxH9qUCL2E17qvRjCCCLpEUlkH66cAB/XlbzKmjAVpWWZg2b0+ChKFfu53sfy+MdN16di534zysIp0b57qxsoqAHHhAbZYKYdnAKV4JEfNEk5fXHBBTS1ERgpy5uEK61L2jBj6cneuECl4YOi418jtttalMPJYDpg9SVu7I9lXsFarxYLrECFCHeo419x4dV6N8gCOTqsdnwq7CqqQBKwoK4x/ddN1hweODubj1FqFVFUIaoLcZU7Q5WTbkRuy1pHxRkgx3ggz0gttbPztFCBaOkPskr5aLUsn6mm8VTA5RzdQmiejVrFqqQ99eKaUwKeBHiLgxJvf/ObyB3/wBx1clc7HknrmM59Z3vOe95xyGWqlEkzgMY95TNkplJaCGxhzZ3fGZgzI53HcPisMXK1eDV4BkejBvkWRaJ601PruSaCG8Rv3u2jxCGrAJej7srzcpNii/3y3Au9ki65lAllP6GSIpETP+XybmulMKduTdT2VwLYWYG5NYI6kBS3Kbyt3n/1RBST9urHplcwS9UjytXLllexbwhWIAD1ejh+rR1rU50dgky6WWrcs1H14VQhkvT1Pqo4xSsJih5xTkFvPmtFiFCvqjidHQXAejM6Pql/qtVHZ1RrdgMGP3+wptpvS/HhuVvR5T9qkzMIHiGJ+rsbesAI5wZePgA03zHIQon3ZkvNb74VzKeepm+tVOIxT5taMHMOt2K3v4SPoabvUzt2dSOcUOAGj/b3f+71yww03bFoA73//+7vrIN1e/vKXl7e//e1bWlM333xzuemmm8pOJOMWuuRkROkq8jc1cCe77kCh2go4XYhcc8Mk78B11OaEs8zc9a7WnnnzpGT8WiqQQoo6uIB5p26pdKVpBYjAE2npRls35lou8TMzY5j5PffppOWVCD9dYXw3LqTFar/2wW/dBCo0HUZsvRQaaV1uoMwq/Fihmser2NdQvtu6GpNrteDMFydlFnriYfQJaavy+JWWkjFu9Btoupo8uFrxgEourmch7S/lru/fVU4cv6tLINspIKMzzxA6ZiU5ePC+cXmg36oAqWc2SdWNfaAcPnSoHO/2m+kJIFv/RV17sKjrnF7t3tNlBu9OyR1ZBiNBVNcByWTnujOUsPIQRhugI4XURiYT9wfiMtyzd09ZXCBbeyozoxiw/d7Np04FL6uroCyZr8RVcYOP+qLbMLuva3/1DoCyfeBeJ+OIomZpZ46D5zvhJnc/mKClVM5cK7nBV8+J8xo3sBt52UtmLBtyjkIpvHIfnnzGe10DrsGTxT13Kp1VIfU//sf/6Ab1Na95zfjaq171qg4MwML63Oc+V9761reW2267rfz+7//+xHJuvPHGTtDtREuKyUGg3N3g7mg3lYuAAWNFalyZxsfNrWZk0E1IeWSVMN2Oz6fw0b3njnTu4V7jIWlhpKVV99xspJRxUpsKiTqbNcGsF5AABD4sOpgdkGuex+VoX/BurRmez1RD5gxM5m72ibQkMxMDi16ItzEkQSq5cVKYuW1grrDgPbcrgRr2jdYudXBDqMhD2pOIRRm6461r0GwOgjm8z8Mr1YwVfjIWcz7qNp0kpKQUgAgSLKLHPvYHOouAMi699Mpxv6wsYwXf2wEUuAYS0wzdgHCwjLqNwKM+N88fgk9BQZ1FSH7/e98vhw6zGbS6fJeWlsegIec680K0qm5S+6nOh9FZTHoGRkpZVSJM01XfjRCjP74/2owN8IKcgQcO1D5N6xJBJfMX1u42ipodnewedf6IyK0po5ifNU5cY7rzD9gLxbwxnux1+4axgxepDDk33IZgu3kn9zK/uNd9iIKS6GP60mwckIpqusoF3ThvBUpRPmXY7yqr5t/ULX0yVOJ5J6R+53d+p7z0pS/tBJL0hje8Yfz30572tA4d9qIXvajb+f2EJzyhtxzPYtqJxKRHkGQ8qHVb6SrgY0JIJqOZECR3satN0WaFMc8CdLAcP6bgRyhQDwWUyDLrYJoW7qOcRPkpFBVICj9jMKZwclf8ZkZZXRSQjCP3NekC4T6YJB/QjFoNMBGtNuvKdwQoaWNkCELxzXMH0Vbfm+7RTPuS7hf6kzRHCQZJZQJSaFMe5cM40prL3G0tZeYQT07FyuQZtynwnMzC8U5X6ekQ1g0pkSgP5s9prmrOdQ66f6la++7Rw5rQ3ec4K2SrwrAwdu15D2N+yaWXdCfYam3aR2NGypwkOe/evWVfByCqQqVaFbU8ntVSX7zyyu454f5VoFVl5ejRI+O1QqaMQ4cOd5Yi9aY85jp1op9rm8lycmycdd2EyXnGGnPPpLlmMmF9qTRq6aelkQclMv4Aw/R2ZFLkXA8qBAp/558Wk2vCNWnbc/6gFDBnZgOkI+V2DJ9F4MoztPxMeO3WCwFZJ3M7njdCCoTfRz/60S0tJOi6667r/gWBNUlI7WTKzA6tuwpq98UklDmD98YlnMg+IwNpN8vms3lPZlZOt6ATNNPFJOAhgQB5v6CFvviSFolMN4WcgjLdkxnDUuhlIt1k1rpCW7CFdYBSEGX/Uw8RcwmUyI3SMsbsH8vPMcx65M5/SQaU9RMEk/E+y+TvbLOa8MnSIvVRBU7UfHQy3cyeQcaJbIdjXy3PWod2jESRZmYC501ujPYerYduDnYZzKtQwdqqc5B7N+53P5vWa24jqO/fSFbs++qY1DlnO0StirhMkIugH+eY8zXBSpSvYLIf+uK5abU43ukFyHXn3LH+SQJv0uXmv4lm9dlMGbUa/WP9fK/1tG35cb5bt5MhSM874MQ73/nO8h//438cb1qdRH/yJ39Snv/855e//Mu/LE9/+tOnLuMEkyhTEqUbIjWpvtiQE8sFkrm5Mg7SCr5JgAM1dSd0vjuHGe2Xe004mRtTbUvWwffIoJzw3pfxmeyX1srxKAu0PnPDyeTaNrlwqRt1QuPV2iPQ6vVJSoHvVpO0TjkX0xVqOa0bss3WnnE035fZzHke92I+k9SOSSYw9b2nSo6372nbo2Bw7DJ/YPZ5Wv451u38aseHj2OvAMzYXArwHKf8Ld8/iRXlnEtFB/J9usJyLUB5aGhmKknXt+Vk+/rGqu+aa8D2++6MO+a7sh9SkdQlmH3ejs9MjxDNg1A91aDv2Y3N1DtPSJ0T4ASd8d73vre8+tWv3sQUcOl94AMfKC972cs6c5aY1Fve8pbyoz/6o6csoHYaOeFcmLooMg6RizEXhUfHq12m66/VNHMyW14rFK1LHyQ2rbA8Synh7fyLm4J6JDQ9mY6WHpNKjdaFkkAGF0QyMtupf1ywhwu9XUjZbwR+k1iQuEOMd8m8EBYKNzPDq5Xzu7kSPYJDRm5/ysS8v2UM/p4u17T+ZHaCWPK3VqBa39zgO0lItYzd/kktP+dCpqXqmyOTkpCm4sHHuKR765xfGZuxLZafZWZMSuvBdnjkihlWcn2kcBe8osD1d+dKWuo5hs5Xxw6ew2+iVZPyGeY2v9PmXOfteOTaSiUhLWO+q8DofjOWpMWf77C/5COHDh0avy83kLdClmt5AkGLLJ5mOitCCjcfsYvXve51m66zGPkN+DkMHO34+uuvL29729vKtJKLQp+z8GLdYLrMchLqMhB0YL45F2syKn3YuRBSg+7TmrQw0qWV+fJkGAoPBQTjg6/fSZ4ZqTMOw4IzK7mZyS0vjxBIzdJrxjPcHGymjjzaQIFpfekPN/WKYqIOCFQYjoFoM0wYk4IpUQYLXTCB5fCbSYH7rITUhNMith/sz7RUZJbGNhQUuh0dH11UCgHaottvUrJZxz2zkisMEnBi/xtAT/dSWu8ysJxLtkVUI2UwH6hbbgNphVD+2yek7K9k3BAgHYj51ipcKTR03SXKNNstQ9ZSSsU4/2a+6EHItWg/+Df1orx0fafSlWshLTzL0a1pH5sqi7XumDAPPT7Hd3Qbtkd8xL45MXIXa63av9Y31zBC3zyUzkf7ehpjUWdVSP3ET/xEb2cglNpsE9NOTD6ABWZ74DuL4Bvf+Mb47CgmnIzYQKwplPJ8p4ScyshgFFigpC6i/8xnl5aNWriLR81cmDjlc6qvVg1pgqinRwwI+FAbA7DAb4INuF+Qge9xQyrfEVQmU6VcftPtaJ486vq1r31tnCnjmmuuGad5Srh4ZqiASBvEM7jQWOQAGURLytw9x4oP5wOZaggGK2PJk3Z5F65HPq1S4LszMK42jkAURUX5ZrNA4HlKbW5FSPco5G/m+fMQSO4RIjyJaDv3mytRYQIp4CBdRqZp8uwo38+7qTfuVn4DCKCi4KbzdL04NwCupPXrmCko0n2Vh3i6LhgT5ocZTagv48+YAeiwjNzALTmv3Uzu2FAfxoEyTeNFmYyF7tPWIvP0aE/TzjWjEkE/U3fqZh9mGxUSKeTqqcV1ozZ9z1yxXvS581PQBnNTj4XvdmxoE/0t4m99NLbGuXI/pUI4lUHPD2N9iCJm/Xhi+JnEP88lDbn7HiRKt44BSxdaukXSTJdBpWbrPUwwGaoaYpr3+d4+8z/f2747EWqtuyYBHanZetquR32oKaZbUkrXmEi/3JScdZcx9MFi03rJZ3wuMzakn9/vCaZI1KXMMBlNO45Zt7ZdWY98Ju/JYH0bx9AqUus+1XiB75Rxam3mBlPrndZTq0Hbnzzv2KSVqIKRwfYcU+sA01Vo9KV2auei8yHHQGVs0tzOeaQASACIAjOtfT+tuyv72vLTKpISOp5jnK7TSe30e2uhCtZwrBQ0OWdy7EzwvN7znnZOJu9pf8/7pkkwJQ1CapvEosHKyUXCRDRJrAzAyed9upRa2LoTCYtAC0SNyaSyal4KDyiZSmqhMgRRd9xHnj81bN+ZrkS0L+Np3IMFhEaHNm8y1WQAvpuFiKbmnicFVGay0N3F5lXa0wdGSKFjzEgXSWrH3O8hiLYFVKmxMpL1ymg8MtuN0rTJuFEy4qyD79di0TJ1zGR45lv0+TxZuAXV2NfuyTKmd7LD6MwHyNhgLaBpy+SxfHWn2Tei8Xh/uslsF2XZLhMV5wGaie7Ludnup9OSxWpwD59zvC8ml0ez4G1QabGP0uqzDJQjM9BrDWCZQfavabWMeRr/hFIhU1h4MKJ9kNZ0ok/7GHsqQtbRuZDbMTaQlCtdHzPn7IcWzarr2L2TeE+o20qcip2KTwuSykQB2Z8qzHm8zLQJq0FIbZPcY+E+Kff/qNW4oRByUksZ2O7T2jPYb5lqaVL6tJ2gWiyJFpLxsEAVDi0KMGMrfFwILH4YKvebAR3Kdrb+etvK/Sw63u9GRu6jz7ZKV5RWjwzB5K32gXs/ZAT8nRnFM91T9hm/8f60aLMftGB9VjeXgBPbZ/+lsG8FUjLq1Jhtg8JMmPAk0nro22ZgTNA51cbKslz71ATGxI7dNK1Vo3Xi2Ldz03RaBv9VTqxPnwWfVpbjo3tRN3IKRsdBgeHeM3NWqgQa71IgKCgdb96Rfa7iYf/1xXZTUXEtpSLmvdnnti/XY8ZljTmncMt35d8op2aSWI85k3M4lV3r5X2J4nRsp1VAQYOQ2ia5r4GJBeVCkzlkALZ1DbTMw8WZWrGLsM8lls/7MdalJQaZFcDzoyZR1sHnPfpCi8zFnci6PreS5bhz3sCvGnMKqdblkvXxd7VktXnBEFo2CiZdgAoVY0UpYHLhppCSMWbcRcbYFzOSUWRbMq5m30xiDqfi5oNyb5Lxv2ScreWSlnUKyRSelENsyv6y3rQb1xp94HjnmKbC4Hxv52bfXG/nuILZumRmk+xfc+OZcT9RlH39xD24IlPItnXJvY2+p6VUPHyv82/SOu4j566CtY/SjeuZaAl8gFrEpkqOAtzfzHJiH6t8QIOQOg8JC4ogKO4wXBIsXKGlubNcBpOxBBetixQXGBPMVCxObhmOUNz046sZaiG5KJnoBIZ1aVFPhBMLXReJiB+ZBu+x/nzIzsCzaNu4+nAx4e6jfFxO7IHDzUOaqzzkEMpy08fvQsLdIrKOtlIepNbsfQR8edbUS5BChGd0j9jP9J8Qd11aAAHsJ9xEXAOAYHzD+7EG6DP6X9Qddfv85z/fCWlP+tW9k0JNLZd34n4TdAGoQpeS/eA4GvjP/WKTmAjvzhRUtEdBZdoeU1ApMOwDcyXS584lxtIME14TuMN1+pbnPHU595p5kKNCjn8BG5iKKhUZhbQME9e4c5xxMZejCk8i2HRxXnvttV0Z6VHIvk8Xl3PD7QeeIWb2BkESpjHSq4B7XUGthe4Bm/Rv5lZ0TTnncw6otDiH0ypLQe4ahDKDipYlrkHuv+qqqzYBUkQKyhfoc+YtAB7TgdEW0aWsTzd7s06YA56bNi00CKltkvEWAQ4sCCdraq1qwAaqW1ebWjATzRQnanBq/abQkcnp1tHq8pTX1vWk28r8YcJWhcBqZVCOE1jNzsUnc9YiS5Qi9fVAwz6/uDGabGsGjmmre1O0lhJZB5k2iXuM5WlNyai0mrSutAqE5WZMRSsxA/laEDALT+7N2IioQt0/2R6FlEzSPtcNrOXJWNoWrnnW2FbWlvNMZCGUcTQ3Z2csxXrbd1wzHuQzujS1hgToqM0r9Om7dM2Z8sp782+1+CwvXU85D5MpZ6zOvnGvXsamnEuta9k+cW4Zi1OYGBNNVy7kHJfx0xc5x3nOOdbOAcuxfhk7yvYreFv3Xevud81L/LY30os5r80skoLL8XL+5VYNY4EJlZ8mGoTUNolJYZ4wE1DmREmXnbBjJk9uQFUIQeaLczEiNNCEzPHlpHSSmtpFCDfPpDXne7VkZGi6qDw+XX9+xoBkPlqCngJsWyHzn3EdjU4feIIAtAozPiAjUDP3NFues29yT5CLzIUpEzNprW3PhZvCzmC6gALLTFizyXmFIPMR0OBCl6kqaGQeKSByg3IeQqmgTIaW+7G2IkEQ6VrVOoCRmZBXwZuJdH2OvlIx4Fkh5I4XjDrnpPvLtAxos8Lb+WoZtM1Nq7rE6Efr6/0mJeY35l0qS54mINOW4XtSs9sOMsaVQKFcC/aH8yhzJCrIIF3BKFqmsZJMIuy80kOhJSUCF7KdAqIolzIpG2vTsXZ9sZb4TQvHsnWDW4/ZcD8rtPXSpPuXvve3BI24pYByXCPT5vI76+dJnQ3aSWmRPOZc10mm1cngqBNdhpUBYpkAAAtch7h0IIPiMhEXh6gfA+mWo4CQMamZaT14X8YVLM96mHKID4tMYaD7ICe5cZonP/nJXfm6rVwkCURoA/jpltJCsN9kLpQpos9N0gkoSQ3W39zHkrGwFOoKZl1WuoTUVrUwIJlgzaTNb1WYV0ZX+zOhygoFY35cc6+N2dvdJ2P5bpTN+EgfmZlCxg4Z32kZKZRgBAWojI9nGFvnq3M2EWeOsxknzNSRFhv3uD9IxYN6Jsy6dUszv+gLGLzusrQy0goXmGGSXiiBDo63/WFbPVbD92lJ5fzX2lH5cwNvG39znsFznHv+Zp1yjuecx9XLu02TlW1Nl7bjogLIvfQ3dPFoDeqed2zTM2Fc3L5zn1QbH+Y9tONkc+2hppOlRRqE1INALlBjS7nY/B3qC+C2i5TBYpKl4MoJqUbWJpxtNXSZQkuTwBttYDXL072VTDC1UgSrGrFMt0WUpZsy9zZNer/X2gB5MoTUTDMrQcaN7IfcE2Wb7MN0A/rdvzcW9Max5rXtoyPNI93RpLmhG1ElYqv7J1GOvZTjsdX7833tBuV0D7ckoxW9t5UW7vi1Y5YCvO89CpV0E3s9BS6UAsn7W8Gc878VOn3ksy1TT4XIumTstq2v700ABpuLPSss47KTyPXEO3MNLYxcd6kA94FS/Ldti2W3fGmn0Dk99PB8IF0/HD+BcPGwssweYYwgE6LmNbVRUwahiRs3QsPTstE6IpjKfiDcCOYD41nAALrz1JqknOAKL90VLjxdWjJn3TsE2QkwG3jPBStD8JouKM/J8p3UiQB4orSMA0lqpgkW8V/u1yKhzbp+BD2QOYH3A4ww6wWWC8wVgAdKjXn9eA7mCyReq4ff6GvaSR0vueTS7readol9YStl715ihnNl3975srSMhVHGh+ZNOgdKwakmfqY6oSlvbEOe/CzTSgGRWr7uIfqKdjNPhJHTvrS4tGQVpvSbbmIZrZaTrkYFuu4rFKt0oZrpwfHMTa38BvAmgUVcTxc4v/MdEID56XSBY3FoiQD0sf5aE56ZltB4+yXnvXNUy0aIPXOJPtCTwLyiTHMZOp5c97BD56tH5TCnVM7SXeyYKUB4J4INpe/LX/7y2Mq74oorujEDkGPd2tiornktq7QyFX7uEdsqR+ROpEFIbZOYvDA3UUBOBP3sMg4XsAvCicaCQ5OQMeThfD4vozbg74KgPCYvv7NweIbf9Mmn+0ZmxeKWycCwvEcma5DdwK/uTAWRAk6tXteDDCjRhEKljYuxgEWK5aZGmbfuH5mv/nb+ZcFSJkyKclx0LnpTRcE86APuE+noPVpPAlS4R83VQx5lFjVmUwPfd999V1lawk24UnbvAuKLaxOLBusQ5BxM1RjcZKj5dueZ+fQkgQdqz2rxzi+ZLn0iei43WPPxNGitUfobpqrlnHvuUsnJ2E7mfhSQIgLVOZRHdOg+TYCODFcATloGwuGNA3litG5tx5TxNC6jO9G66dpOUA0kw851Yl8JFlHQGrNUuBqXVegYbzNGJ2hBQe9WFZUkybrQZ7j3eEfGH+dH85PfjDXrds1j7VuLy3VMHVTo8qDTaaFBSG2TWBicg+Ux4DBQ4cy5P0dmCGn5OPmxLFi4MBMmIjBo4lIy1fTT+7y78IkH6bJhMQjt5R6Ep5OZa0xQsjDI3MmfpxB1wcGcFaRqm9aznua6ce6QhxBmNoeMP9EHQI6NDZn1Wgsu20O5lOcik0kKxoBx8n6EMuXQBmC6UAopGSWMmD7l3TIrY0C6cCjP/HFqs/6NgKIOj7jyEeWLX/xiue/gPWVu7nDZvXuuHDgAY5wr62V+1Kb1kbV19jznClVBDfQNFq5AnJxj/IbWLUMkswN9gTKUm7y1DGTelI8So5BTaIhwU1BAqbULvlCBohwtVudfblZmS4NZS7LelCcAwDyOiWqFVOIcV96pgsVYUn/misoVXgdz5CmgjD+p/DDumSVECw3LTUEsvJt3M+bUh/dkxvL0nJgjUEvQDCs8i4AiHyaUMcPMLmF/rI3WIfUTJq+XAgJkxTXWtsqrLmrXoBYa9+i1OZkbdCfRIKS2SSwKGL8QUBe4AfKER6ef3QA/H90fLDbTl3j0e/rcM2jM70y4r3zlK909PMfCYCLmgW+64UT/ZWohXArur6EdumfyfWrMIu+c3AIuEiySdbQfPG6eMm+99daxpdT6/9Xk032o20TXC4zGQLh7unw3x75oNdBG7nGPj3XTTcZ30s5Yhzbjue3zO8eXHz+OcEP7R9CtlZVV6gnzzU3JZ09Iub9FJkS/sGcNl2XGJ+w/7tU96LO0l75xTmiZJHCCsdLlyTWEneOcyEIoARZaxcZTtIylnIvUQSEkatS/7fM82JDkyI63Fr5j6fyCWAu6E3Hx4np3rri/ScGhlU7/patWS9oxNfODazUVLAWfG/lbAIj9ZD2hzMyRLjmfS6CGLte7Ry5ZFa3sc9ezllTuG4N0mzKmrCHqMVhS5xkxCdwgmnskdJUkki8pFzuk1uhxFcaT8tlEEKlNw4gzjtDug0hXoYJDZsF3tV81rnbBtGiotLAmgR0yNuKil+G1AVy/9/UJpItJ907CaF1sPIPWa3tlCFoFujohBS0Lv617MoBEZlbNFQGFgIXpoHlTHvGLjUwUiXrbirKdpxqnEn4ss+djiqg+8AR1MjZqlnrLUUHS6jLO4RgnhJl3tApWgm9ahSaVkAS2JPk+x9e2KZjsf+cbY+s80o2tm09hx++sQ4WJx3HoDlUJQsi43YF6ZKqunAcKD7M5+L1FQOpp6ANTpNBybSl4tCwTjJLgi8zOcjza6PzxOWOdrbclvRSQqL4W1DQNNKD7HgTKiaEGqe88A5Z5pEJOyBQ8Ugu1hWS4iWJK0z796lJquT6jloh7xJiBZQhEcK9LlmMbXZhtSpxcPJBnPilAM0VNKwyyrgpVUXFqrTJWtVHjarhvRBXmAXo5tW2/rkvcg+YPzPx0rfBIjbhj1PXHTeOje8ajRxSY2W8qMFACP5jLum+2WopC4x1ftwZo4QrCkfnpek1rPOdHnr2ULjv31aQFS3/lOOaePa0mXWK0DcXJPVvZr/k9Le8UJK2Swnf3amXqqVY4U46gIcrTEklAh7B7Y24Klpwrvt+5Ql9gjaJgJZgDcp0z/7RWFcyJYFWoqhBCzBH7wHYLVDIuJzBlJTbuMiYI41QY2/WTa8rrbTt3Eg3ovoeAWk1WQEO6xzxiPF0tLigXjNqlE9uFqGWm5uxE1u3RWiLJQNs68rvBU33sZglIV4cMEMpJb/mJVMwAsoxfS5J+cL+LwjAFaZZjRgZPI5VhujhzX4nMkfqDfvK9CS0X8p4paowtyPRNm+MiNhbgpkrKta8PsJDWZQYbi14mKMAkSXCAQp3fBQIYjKd/PE9qUqzA+9Niyf1WWjst7N5rOT9S0WljgAkscKypL8pA7lvyN61VBIAKQAtt1+LwmcyiQv0YCymFtePt+LgZXEoAknPFeitAWTOMOXV2z5FWuO21LNehGSYo03RUuiBTsBkT82w26sI7Ms7r/dwnuCpjV5SjktRufubvi0epvzwzjX+x/sxkIlDF8dMdKu+wLoJVrM800SCkzgKx6ABTABM3MSvaFkFctR93ricEPQWOE83JzocYEr+zcCgvFzeUzEvhZmwlMzLwPhaGzAeQRsZidAvIgNS6WzIOZ5Z3FgyxADQ93sGiImicJ7smEzHNjEyD5+ivPHCRuuUhj5B7dmAa9AN9reYsaIV/bZfCXe1YhJsL23ZSD2MOtAmLgLrAPPgAc9ciygS1xjpUQjxMUcFrphGtE/fUGb+hf4jXZUC8pUR16iaiTAWd4+1vQvb5LY9WUTjJwNo9d+6JUpGiTcw3gvYy4kRBmh0f+LflopgoBKyTAoc6MR4iWqmf/apr1bkowEVrwhN8nQduszCNlam1RJDSbuJUzHGyoogKZXycjwpk6ulxJSg9Ji02MwZ94HjbX8acqacClH7wOnPItUYdAUQJfslTegEX8S+/c7+uOepw1VVXdeXgIaBetIlYJH3sdoJ0SzLuwu/td95DXM+67FSLahINQuosEBMBZi0QQXJRuCDd66FwSreHGZPVSjNhrelfdLMozNSYWZCQrhmeVZDo/vEdMi2ZlJM7MyekKe7+FjVc6mHZZqtOBp1uEhl2uq1ss/G4dF/KMGU69lv61Xk36DWZG8+q8Yu6yliOxzh4VEcfc/c++1NGZJsM1uuWTKvYftddaX9YrvPAMbOdJ9NudXHCmIwbQR6DYn8q6LQIRF+mQM0Nqhlr9LTlRICprBi8z3hgZrIX1JBxpdwEnsoJbeGjomK9M1lwWnOe15WZEkQMmp1EIIRzV8ZtGzxixuu+S3SjyqBrxXXAPVrcrg/XogqN1pDzVcXQ7CsqVfRHxhH9GDMUvJJ7Kr83UpRyT5jgEMu1rs4h16jt5XrGHaeNBiF1Fsi9Ju4hcYEx0TI/GZNTtJVaZjIOF6QL32tq31ACFFxIuUi5T+1MV07LsF3kUCKIfIcuMAWAi0ltT2GWjMJFQj+4gHxfoovyfQbGbZfIL/eGZBzOd/A7FpjCIJmIgsgFanxCq6oFf2S/Z12sj/1OXyaCrXWzan3SNxmUT7SkjN77M5Y3aU5BaMluzE1XYyo+lqs1kxurZYDOwWRcKiu6a3VB8y5RZJBWv4Ka96r9yyDTxZkAF60OkXEKNnNUmhHcteD8c4zSxer7BGtoMepBUFhTT1N2WY+0KuyLzJnnfNeFbAyUv7N/IPvM9aZgsO0qJSl4053ve3ULmhdSlO/SaP6bZzLnomvd8UvwVipDzv+TzbOdSANw4ixRC2DwWvq73b+Rvye1Q5NaUKLP8nmuux9JBqMGarBeTXlSPds2uJjaCZ4M3u8pNCfFx7aKmfW1M4Pk3ptxi0n1T+amIJh0b0vJEFUsEgTT1w+TyH7IMls6FeaRY5X9qwWUigykOzmtxHa8VTiMT0G53y0ViLYeWpAqAqfqRvI+14KWSpstPOfVpHKyTnnd7y2gSDCCjH9SeX3ltve1/ch341dubuaa82VS37TzXcvO+9eb4+UngaS2op0snAbgxFmmzIgtOXlaWCgks1ILSpdR7lHKspKc7Ck8ZBhtPEOXnLvSWUDEcNhYmKg8KIPy+bwf3yujE0nWWhzGfNROc4NitskyPf49r/cpINlmGXGW6cJ1kSeTbXMF2l9aXFn/HIusk+WqYLRuk7bf1Gb9ngAR26PGz7N5iGEfZXJhGZXfUUqwQtxDZl3dJ+UBetZdd5R1SFec/ZXZzoX+Z/0zu7uavRkQUrPvY85+N3bjMTe5f6hv+4TWtHHXXA9Zdvs9rVfKwmUqqjORj31jqdWokHZNZTov1zr/EiPSg+AGfwEUWq1tf+XcduxaxOzqKJuLsbN0lSYvcA5LyWMyg8tOFVh9NAipbRILjImZk9tFkal/MthrwDcXqxkd2kWWOdhktBmITlehboh83pgTC4TFSY5B3SrpwshM7pKLRjcF5Rq8RvOBKfI9N/N6HpMH7eUmw2ReLrg8JltgQx5wCCVT5pNxC39XGLo52d/SDSR5nxkpMtaRYyFDVMNP114+k2ORAjwP8BMg4v26Y1QOCJ5rTfSR8GTT7ihI+BBwB9JMX3vmkueSIcAA3JjJ3nKg3BNF3cxET/+izPgu3XFppYmQhPideeDhgrZR4eI8c6z8KDQ96oZ79SyoRNDP/C7jTySfbcg1k8qBv+sS1Q0LuIH6Ul66TXPeS8aDmOu2OxF/rh+VNzJJeFijQIk8YsN5wbtFHbZAEXmHZS+PFEH7gXg35XrKQSvYRBCmMuxhlMz5RO5OAw1CapskY0UAMOmYBEwsT8LNPSx8QEO15CFwAB6cXKYSEg2k3z2FlDEItTsFmbGYFHDJKNMN59/Un4XvxkQXSUKAuQ7jM7UMgAUWTR5HT31BT3mGlD73hIQrbDMJb6bpIdWTAk4BKHBCoevvCg3THYGAas+zMp2TTMo+VosXlACZfw1UoowLS0TQgs+qFafrUvdRWhPGHFsL0/GQuRBXyzq3JISZVEhatJnTTkWCOmpBmRPPupoCSoCL7mfjK+k+0spxHqA4aFXA4E07JLDFnIr0f6LejM04fyzDuZQWN9cEu6RFrEIEc0UwmgzYNSHTTUCOrk+t1QSMQOa4zNx9uffIflDI2BbaRioi+llAkIIw44OQbfVARQWUab4o21RHzomEoEPzcbgoZdP3ZNIQcSjsvt2/5TxViPOduShyc5poEFLbpHSZtC6t1r+e11pKs71147VorDY2kZZIWiz5PrX3dHG078/A6yQ3o24eNfatYkJteqF0daULJS0s3VTJzPL9ui5aS8uy7ad0CXp/9lvbjy3ZrvxdLbd9vs/dlC7OFMx+5zdz0mkFngrzUPC38aC07CzH/stNqNbPuFPGP1KjTxSfTN466rLSfZSxnZyznuuU8cAcx1S+rGu6abV4TebqWGYOwXb804vRF7fhvtyo3q7bHEt/UwClByPXiuMiaCfBDWnF5dhkfSfV03/nRwlmVXSzvinUWp6Q86WvfdNCA3Bim6RJrhaULrQ2DpLw73Tr9GVndkHoEshd7+m6ajVgKRlB1pXvucnQ62r1PtsuVskd+Lg4sQrRCDOulHnefHbSFMtgvoyNerDvyY20Hvuw1TTNPrbfs+0pdLOcBBRIMu5EYilE3JfEB8snARSpzWZ/9TEl/qYMLE61f5LlbuXuy4wZlpfjrksok836TkENrVLhfEhXWfZDjl22I61a55Hpijxg0GTLzA0TseY7ZL4Kvb7x9KRfrDjawP4gyxZRl27zVAoU4Il+s78UzO28cL3mmvE5f3N/lG1vx1YBKZLVOaly53YKj+MxttY3P63vgQMHxi50yiVBbyq+qSxl/bMseU/LP3YCDcCJs0y6jNKfrHuKBaV25UTN/Qqp/ae7Ia8n3Ng0S5rsLgDdi8Jg00JpmUw7QV08uguN96Q1Yjwmj4uw3by3zU7RaoTJMCTrIeTWYzy4L+MAmWtOygUtQ/ZcLZ6xzbiTIN01qUjoSky3Zr4jrWMZmOOm28axSheZbkjr4NHduRfLPhKKDZ0sM3Wi7/IadZZ52SetkiEgwn63Xc6ftG5yfiRz5mP2jzYhrHM13VxaWsZjnLt5rlS+17qnQPE+hJz9k+Pm+7O9ZmHI9vi7R2AIg7cdOaeyvFQA7f88g03lRZet66R1N5sdwhO1IQW0gAjdvyJ+PUZmLbZa2Pasa87T1uPS9s8U2iMdDUJqm8TE8IhwJpupS7AA8JtzDcZpCiKzIaRAkvnohktXBd8NbuPvd2d5aswsAn5jw2VmT0gtOZlRTnLqB/MxFpBQYheegVdzsymoDHgn+CARRxB1UaglQszfPVsH37xCifL42yO0uTczlStMqJfC31gUfWA9PLMHJidajY+ZvtsNlJ6ZlG7VBERkTMV6pVvQYLqCFTJulMgq32NQW9fnVhqu8ys1Zr5zHUvDzCa5kVayDcm0VG488yjbbZ84Rs5VT42uB0FWdFwycZU0yqGtWth8d424cZV6Oo65FuzPtAZ5X1oyziu9D3on9AiYZ9D2GjdiPlAP2u3m5AS3pPLjWCt4dT0muMl4M+vPNSpAwe+Ua+yNMvIwyFQAjWsz53leINPyaBtJbiXRYuNfLW/5gHvTcqtEa1FNm8AahNQ2iUmB20a3FeAHUWtCdPN0XQOdLmQmkul0YJy4kTxug3uf8pSnjBmBiDkPK6Rsz6US+JBJOCE3k4q6og5A0GFqZo3mXQTkKT9T+uCCQqgy6U0l5AmxniUF0+LdMjcXY+sfb10iCmqI8nFlWncWKNcQ9DKeJz3pSWPwgdSXbkerRSYDU+LcLFyTMFXqKrO0D2Ei9J0n1kIe92H6JIWQwib3njk+HrSYyU15nvYwB0wmy/fcKEo7vvCFL4wZUR/RzzyXB1Xalwb3EdTOrYSc52m3jpNuRsdEhudYqekrbHAx0U/MD4UAcyNBEmmNwqR5xo2qIN0SxcfHsUzhLBjG/V0yZethaqh2g7mKodssQEvSl6BZFchcty9oC+mYVGo8R835yPy4/fbbx+AE3Yz0NXPV+cFvvEOhKBAF4I0Kn0hRiH6gLZ5VZc7HFLaURR/z26FDh8YWbApS15bzR1AJ7zdDB/erUDBuzE3eK/pwWmgQUg8CZSwng89e0x0gs3fR6NJgAUAmxIRkvDLs1N5zT5PanlpoIpggXSb6vmUOfXWmvHafS5L3KgR8LrOoJ0LJZ7xXgZKWozBoj+MWzSWpVeuSzCB0+uRTEPov5eaZXpMEgExW16f9kCfNcg/1cqe/wj9jCo5tn+sox92+TwHSF1dMSmGcrrVW00/LLxFn3iPjV0DY5xmDcs563cwjjrHlasn5PcEiti+tKyi3Dch0U6vP+3KPj+U5D7L+aUllG3xWV5u/2WbKcrwRRs5ts7077rmtIa3S1p2eLtSE+Wc7rbd9Zh24J4/nSOVudrRmcm36XuNzug0t1z70d0EsraCbBhqE1DYJpqVWxOB/9rOf3aTluHDTfeCkExmFdiVwoUUasRgoH0sgA7Ey+D6gRmqmuhCBrVqm2cbV5k0SarJRwQEeOw75r8F542UpANNtlG6JZBpes50eYYJm6qZOfjNljcIF7TX3fKU7Tuabe34gnkGTxEJV0/UgRKHT3GsuPtorM3NfUe77sk8owwMXc9EL97bP+XAvz+DGMa6SY2E/5BlOfWQqpkyHlczPNmulpPBJl2T2VzLsLCfdzY4RdTd5sGPgcegqAa2b1xObKZNDJvsynkMZ/NeaznhMKjXGF33eucDfzCGz4RvfxGuQ7sN8l2V6pIyHApovz/qnVwTiunk4+Y0+cb4nsEVLyjZnHM6z32gL89M1ZnoorFAVmPVQAFVsJS3OPFK+7U/eq0dEF/PDWkh98pOfLO9+97vLLbfc0jGBD37wg+UVr3jF+Hc69B3veEf5T//pP3WT5kd+5EfKb/3Wb3UuF4lBedOb3lQ+9KEPdQN1/fXXl1//9V8fx0WmidS8Wi3W30T6JOOAZBRcg4HJHE0sy3UmFG4LBUMmzMzYgdqeMY9kdi70hN2KXtP9AnlGkPXNIG8yiGRqlt0Gk2033/MYjLSmMriuwPR9bhDOfTa68owNQZmzzj4zxmJ5Pu/H3HYJfLBfjTHYXhOomsSVhc7f/CuYxTiUH9uf1ly+L1GHOR9yQ3Qf5Z6c1N4ltWaZkkxZZch2JoNOxaHV3i0/+9tkxY69AjndfGkJiPjL3zKDQ3oTEtRi3zgu1ZplLjM/AAbNlNW17syU7jTk9XUE2oZgMNmtlEy7tVhdG5yu7WkDJqNNxSf39LnObHu62NtsD/aD77JvE/CQc8Bx1h0NpadDsp/TsktlxPutg/xmGpPMnraQgok+4xnPKK973evKK1/5ygf8/q/+1b8q/+7f/bvyu7/7u93O7re//e3lJS95Sedz1wT+2Z/92U7AfeQjH+k67bWvfW15wxveUD7wgQ+UaSMnstZMukmcyAa1odbU5ntmXdbaYqKyeBBS7i43WwVC3skucoj3ZsA2qWU8HnaYu9kNsrYCLtFtmfU666+2K0NMOHQin3JhudE5y7H9uiUUvDyvG1SiDPolBa9xI9vsuVTWn7EQ0ZVQb+uRlo3fIS04YcfphjJmpVXcChEFhJZhukez/eny6iPrOymW4DxQkWiz45v8tB23PsrfUjNvM3dYL5WR1PghGafKhgLP88rcqK7ASqvb+V/nAsyXPsLypZz1cmIJQTxTdi3yDIoJ85T6bBz9fiqU89GxzTUgkrOPttp8naTieTqUG+TPd9rWPikGOC0piuL8k1/6pV8qv/zLv9xdg7mAPnrf+95Xfvqnf7p88YtfLD/4gz9YPvOZz5RnP/vZ3T0f/vCHy8te9rKOIfP8NO2TwpSnzmqMnlkjY2PCs78jIdcufJlHuhISPSalq4nJa3mUwe53szx4OmhaNmqkuGpkrvQ//Ydw9JRaEXqZLdlYWSbBNf2OsHrqToYInsFFYdvx8RvTSRdnMik1fgWIllEG/XXd6H5x8brzP2NgCg2ZLG4b+gJlCU0ZtwxuHc/k8RnALtlXxg5kWjlmqYDwLGOvmya1VhUG41ge3QI99alP7crSOuQZ98BNYny0i3oAcIHsI/8WnMG5QZRBmxHSvMMxgBQCupJUsGyXVrZzQOtLJch221fW13ihmSgoy4P2BMFQ7rXXXju2WASBUAZzO7dW+DyC9bLLQGmulRNLh8rFF7N3sJTvf48TBebL5ZfvK0eO7C9Hj86Wb/71HWVp016zU2dt04h6e7jQQ7pPCkaAv/3FL37x+BoT9rrrriuf+tSnOiHFvzAwBRTE/UyST3/60+WnfuqnHlCuFoTEhN4plAHrds+Ui5kB0LXUJ6TajaNqoLoKjB3J5IwdQTJa9yxpTeTeJP3V1kHhoYtIP3ru/E9EoBsm0zpRg9YPL9M0yCxiSeFtfygEFE7Gtqije2kyy4EB34w7pRDPHf0pDPlXxm4bPZXXmIt1UrFI16wBZ95HOUL4HduEHysUWwAKfUQfwmiJjfi77VRIG1xvgSpJ7v9ROdOVBvG86Y6sJ/dyj0AD26qLWa9GJtJ1nFJIJYAgFQiFlNaV8US3KnCvewLT7edcd3+X4+VGZvvAeV1/55nVsl7YSzRX9uxGSWGu1e8rK8RoN+o9s7SME/C01vG0ucDOJ3pQhZQBYSynJL77G/8Cld1UiRE81Htauvnmm8tNN91UdiJpBehfz8WmoFBIZQyi3fviRybjaaS49ugXwA0KFvrKPUXmrPOUU5OQ6jJRyGV2AH3fkOdNuS8jk6gC6JAUYIydGwvVtBFcWk+iqYT0GusSWqsQlGHlycQy2RRuupFgwqKgsBgNlKONYwkaGMbS4t3c7wZfLDyIfkuXpkqF9datSN9QF+MSQp5TEEL0UZ7pI8OnHC1J/qWewJltO+NGmVqqLQCjj8zviKvWMrSmfa/WMPUWvk/fZF/moZVe00VpPMV2pvsUyjifz1ue3gBdqrr2uEZfWg71sj5uvFZx0eLL2MnqKnE86jZTdu+aK7PEplZLmSmzZXUFtxjxLeI7c+XA/n3d78u4Xddo04O2zAc6hzQV6L4bb7yx3HDDDePvaPaePnuuyQ2kan0idaAMYJ6KKyHvE6rqyagKnAQBtIFiy8/9JwolLRC+I/Qy3RAfwBtq5goPGRBus7SyjBNpPeAC1GrTVWMMJhGN3m/QGNIq8WA64xIpuH0u3YQGvEXuKTT5CHSwvQlmScST7Rd5loHyjD+lW846KSC04hIqzTMmeeVZD24U+IBVlft83OeyVYxDd2KCPaxLHt/BuOpibgWqVptKVYvqS5eg/+Y1lZzcApCnJEOiRJ0P2edQJgVOwEu7ZspMKYcPgaIj9RH9z0UUIvp9rRw9slRmZmfKvfehEFLf+XL//WwUPlHW1tfK7MxsWZ/ZjHQ9W+Tcyb6bRC1Ipe93BfWplHc+0IMqpNS8YVr6zv3+zGc+c3wPTC9JiyE19yT3EuxEglmY+VwXnox4K0qE1aTfdSVapowpIdi6DNVKJ5WX19tM7K1Q0GXj8dRaLmkJZvuI9bTII67ZjlNZuJDxJq08n20RWS5gLbOEOvNv5nPLvkwGoFXA55vf/OYm5rHVuPTVvbWCqb/ZGRJMIoNv5/+pvM+YXCpBuuDyLCbHBaGnxZKw9L76b/Xuk8Vq0k2tCzDndmsdpus4255jzDsXFhfK8lKNjzIPaz1EQYpyrM/v3l3dxlqXnVW4sLEeH4xY06T1qkcg92ptJYBy20AKfCmBJq1CMInatfdwowdVSBGsRdB87GMfGwslJiWxpl/4hV/ovj/vec/rmDoQ9mc961ndtY9//OPdYBC7mjYyUajpbwzye/YNk8ajM3JjIe41A+6QGnFOTDTxq6++uguqw9gyuO2CcLc7Li2fy2wCmQHAOvhbWjnGSVxg+ck4m5aMcG+P9nBxyCQ6RjOCubuvRAHR7qkxXuLxC7jGaDuuLSHjxjiE+xvT0K1nnTLllJZdm/POMbLe5nRLNGEyZ5m7dXAPle4y3VkqDMx53KKANFDQIDOep7tXxNzJ9khNIuYQdcerIHTaVETG40ytwzvc42T8jb+N0eXWghRcup11JaarL/s1N5DrMnbbg/MrLbkWTt9uTcAaWlvdmM81v+OF4+cSMes4XXjhBePxeuxjH9c9c+edd4znjdYcfZbCxDnSB/G3XmaFydyWfBh3FHLWKP3vFoiMK5sWDcWFMVOpcP+cyo3neDF30kI9Oto8bp0g57gbeM3fmBDzVkFwG8nJtjtMvZAyXUiCJdjASufCMN/85jeXX/u1X+v2RQlBBwElApA0Pz/5kz9ZXv/615ff/u3f7jr1jW98YweqOBVk307N3aeQMuiu1qQrR3CD59jkIYMJcU53GBOPmIabbzNLuovLoL/xFf71LCc/xsog6+WiMCBvTKHVPG2PwtVzj7hudmbrnO4qNXz6xkMArbv35yITwCCzdFG7cTlhwgoU+tC+t0xjgimAU+AoaASj8K9nZFGmQjgzFOhK9OwpyjdNjimi+KB82V/GnEwyDBnzsy66w7Iup0NmyPCQu8w151EqzqnMJG+7FPR5WquM2XtNBUVZtt25pnIAJQRd4eU2h8z4kEeKOA45TgrsTjDOVDcpa2DPnr3d++o7uqBUbcMs7uKN2KF1uPiii8qu3bvL0aM1WbFgDyjTFGn50Q9a1jLwtL7d7+fGdcfNtFfm3HNbhP2rm1qFivXiFoR2c75AFxUMx2PXrl2b9jlSH+e4a4R60U7XWVq4xhsVUGeiEE2VkPrzP//z8sIXvnD83VjRq1/96g5m/k//6T/ttC72PbFon//853cQc9FE0Pvf//5OML3oRS8ab+Zlb9U05+4z2J9WjJoLE9jTXrE0mbAmOmUCi8ZT0xT1ZnkIb55lgitcnIQmK+Ve6sGCYeKKaPM+F76pgiiH2Aj3A2xxgQqCkLFAosF47v/9v/83TmJLfjIVC8o152DmcaMOxsMUkAo72m4SXmNgWp0s1Dyhl3+NfXnwHRqs70sG7KZb+iMzYxjrY34Ss8Ha5Tdg0faJFpaLnw8xPBgC5bFNgnrybvPpKXyEXKv5U0dg8lpuWFam36FPmBeU7fHujv2pkvVLIAjKofnjtOy0+lAa3fdjHkTmnmmABDzYFxBt4Df6FIWUuvI7gBVy3+kJIEGwZeh2Yw7YRyaW5TfeSbnmmEuEodYA9zHe3MOWCS0+BaCuVBi/h1bSv+N4YTENUT2J2gwh/E4fuV65zjWTN+c2gMwfqCcitzz4r/Oc+6mDGVtEG3oCszkiRcByr5af2ysMbdBHju9KCE+FmnkgaYsxYJVZFVfuFQjEvGN9iricJkE1nCe1TWIywUzN65WBauMT7JHhdxOypoabWnvrLtO6cu9U7m3xHWpQCByTb3oOD32kC8OFrECjHPrROiXkODVbXTVaLGzKdlMo7UbIwOx1g7WLWA02XXwyo9yDJDKM9yMIqJNMB+J36qvrROSc5SUwQ4avVuv77VePO6cd/Ia7LLcFaDXZfvMK0n7eT0yPd6v1Wn8EjvE0XXGZgYPvJkDlOwzfZKXU5XRdMJ5v5fjxbq1CmVoi9VSC6AfqLxKUNsEgFTi67nRBWzZMTgXJ03Fl/M41haCWgohT3bBaZZkJI5GN1lvUKPPKU5LTDUtdtXB0jTneOdfcs8YY0s8K1NxjxlzCC8R4aA0752SPuV8sFSeFBgKVOql05UZ2fjOfX84XSKuavnANK8icf2tx5IjvVNigOOV33fDWUfSpbnfCBrmdZSfQcJ7UWSYG3EkoE4DSLac7hX+FZKf/3/vyX8vIOJETNvcJ5TEQvBtmY845XXD8BmO1jGQIapnpi89/hZZnYNw22haEcMZychEnbRVUzt9tR7ouFC4J8Tc1ke3KWAAfteRc5Aqy3LgLc5g0HnwXim7+PTen5r4f50KCMvIwSO6BSeiStf+MlZyJrqjmnHkOHZNkQq37yj5xLxVzg7oab0llQmbabiEwd59toz8cu7TsHIt0J0o5zzIW5keFwfHJGJRzQyEKebRLui3N1OI2B35DMcj5rUKHdY+ikWmcrKPvyDic845rlk9fqpzlOFEf12bG/Oy/RJZ6YGLbT0nOMxXGVMQyia9zV7RrX9aQnU6DJbVNal0AyQhzgbsI1ZAy9uO+IffxiFDzeovSSgRVH+NPt1pqpi5Iz9TJI7kVfLoOWFAu9ty3lDnvqC8aEAszD2szHgIl0/E95sPLrMx80Aq5xySwaulqqy3oIveYZX9a7zxewbO2EriQ/WV/4o7lGYAoxgZbxtoyVRQC3qGrKNGGSaa3su6mVKKdtHmrjBM5v9o6Z/1SyKb2bfxJsItQdQVIWl3GIN2srGsyGSHWGy4y6q0V2Col2f4W3t72v+9r+1mlLJ9zzbRWXx/zV2DwETCh6y8Fp/OVv/EQqOQIbElBbx/ku1XyjDEbU+U7QjHf1Y5XttWx6kMBrgaAp2+8k8dAzq1WSdtpNFhSZ5n0i+v3dyGnVZEuQBdDphpS4xdFl1aZKDndIy6WlgnmxJXZKIgy/xjvkVF5TyL0XHAydAENLhhRTjBTma5aWrp4zFaRG1UVlrRH94QnkIruUzPm/Wa30JpzwdqOtEiTCTgGglSoowhDQQYKzdb65T2iMh0vNxnbt+6j8l0GxI2nuEE5tVZdU7oAVRjsF4XGJCFlzMPYbrrx0npMKyRjnoIsVCKMWXGvZSZTzwwSupcTBUg7cC0ivOwn7vfMM606n9HN3TJk+0b3mJ4DFRRIS9O+0n0tSKgvW0f2e24wt49k4IIJRGwKyFF466aDfM49bc5d171zyvdRjtk07AfblNaa/yZyMoXZ0mj9ajXpIrevbKNleT15hUpvekymhQYhtU1i8T3xiU8cxyhEhyW6LLM4yBTR7J1oxHmYxAgDAtIsfmNICi8mvUlWRWRliqHcnOlhekxmXBg8xwGGWiRmaeC6R7dLMmCEBO9kIYLIlPHkqbJmgdDtxjOm7smArj52GJrBcxkYwXwPUPQEUzR0XDwE6m3v05/+9Acwr9bSsX0KZrMtKEz4m2C/FiG/mznchUsdaN/nP//57j7GFfCDzLAFu1AfQRJmveADMIM2GHDnPbSLsmTQzg/qxjjp6ukj6sGH+IxMVavMk5rdWKwbF9cVlg4xN+pI+R7iR10UVK2A4D4T1kIqF46Zwoj+EwBDmVjCtM+Exew/o248xxoxVZZ9aBzXseNjBgxBBNTJWJkMn7bfdttt3RjQH1ruaVXoKvQdlCOqLw84xFXNuOmm4520QTCPz7q9BGUCywimn3M3Y5nWQyFGbNV5YVtdRypxzm0FnGt7fn6+W6e813yTjJ3Khm0UGasQVagLSiFnqtllWst0p9MgpLZJuZk0JxeUbq5kpqJ5nPxqh0x8NWMnWrp53K0PA0l3GJRuOctmgqYvXleCjNDAtAFsBZGIIF1suTcqjxIRhJHZEqw7DFI3nJaisTPTKsmU+DfPuOJv90fJQGGMHisvI0gIty5QhWZajmreeeS58RWtQIVGupcs15NMKVsGnG5ShYuoR7V1Yz6ODXWAweWhlfZlm5OwJesNSMX4kLE5j3VINKbnKnlvatTpAhJSniAB3pP72uwb90rRD2b/yDicrk4TEKd1bmopEZVpvaZF7AZyBS3X7MPM8aci6PEhWuPpClQ5cO05vzLDeLroIMo0LkVdta7MjOJccHxdb66H3MyvN6JVPHgXArN1fRuLSn4xO4q9JvpTq9t5q6dF74TzM4+ozw3l00aDkNomMVmcZLmo1bLbQLTCwEPTZBhOapmqTF+3g0JCzVshlb7+1DxdoC7qpMzU4O8yGgVRui0VwslcBDLI8BUSMlw10/SH67LMYzp8RqZrO0XepVvEZ7MfLNvgNNqlQspntd7SZZL7oVQGuF9N03GU8WY+P8fO8dNaEsCg4pFum2Q2aL05bqLitkJc+Q43sQrG4ZpgCZkbv1tnytddl4JXBURhlMCEBOtknEohpfavgHCemNrKvs49R9ZLMEnGRxJgkfu5nDuORWbvkEnndoy0JB3PVOSEvCcgJ2NbWjMIJ35jrukatW72Qc7djEHm+lXwJk/gnjxhV6+EAJq03Kzj8dHasG2OtwJW5dT79KTYHsc818s00QCc2CY5+fqu9wW52+A+pMZp/MnF5uSyHCe3CyZ93ElO9MygIJPz+Vw8adFkfkB/S393H2XsTEorJ49wlyHL/HCFqIGm9i3zVktkvLWEEiGXfnvL9/kUBG2wuy+InZS58Volo7VwrUcy5LSm+8YnybZu1ce+P/s4Yw5tO7LNuoJTs24FiHX2HZan1ZDzBUtehmm/p0XUznE+xBvdUNqeapB1Pxk78nfnflqkfX2W9cnrrjOVIcvOeaP7Li3UjAvTpvQ0TLJScq27nnA5Wp7P59p1zR0fuaJbC3GruZn9bjw1t6DsNBqAE2eZ1DKT8UO56BVkovpSm5GJ+4wBa6Hjak08r49bxuOek0T8+S4D87qRtMgyjiV4wrIhYhjW21Q21jMZcqINBXyIBEt4stcRgqmF23eJYvI9KTzVBIWk812wRm5Wtuw82K+lVlGwPOvpLn8ojwFPBpN19FpqxbYrN2KmwMjyuM/+OhlzllnqlkotORlVutjczOtGbEEvuv34N4E6CZYxTZYHbDrvKBeFgXpTRmaXkJG6FmS09jXvM9VVn2DKa6kwKfxSQGfft9ZB9q/u3LR+uG4qK/cMZbZ3rXktkkwZ5jxLRcXUU2k9uz76hEsL3vBZM7/4bytUlgPB6rhlH/b1qXFjY4F6IqbJNhmE1DaJCUAgU2shYyGSQW3uZWF7Ty4uF7W78T3gEA1IhBlBfxedKVDQQJi85gAzAM67RJx5mi/lme2cMgl0Wy+DuwA6IBYS7VL7TheY5ctEMk0R/nI3ynIv7WHzJFqnMQzPA1OjlXFmXMB2UG/KypN5zb4BAERGoSVG/VPg+beMzn7XrSPKksUM9DiZQrq70krQ3ZZuQkEVkIATxtEsFCk8rI+ZN+gPLZZJhOZtpg0txkw0LNPSMsiAO7B60Xi2C1CKzFmQBOAaiHvpC377yle+Mo6/KICYh5QrsIW2MxbGWHQ/CShI9y8gHMbIeZaCLUEU/M34MP9FGbbatn2frtK06PjNHJkiRdOSoT/oe36nva4frRszsrA26BPnpm5Oy0uBquXi+tCLYX2TL2gluQmeNUKdnN+862ujMUnovGhJj3qZJKS4DxAI9/IO+hwwiy7taaFBSG2TmJSeEOtkVUNKxJ2MTO3SmIr3QqZEYVFmcNcFCtNQSJmk0sVo8kotlnSFZKoihZmJcd0TA+Vi5xrMjXcmA01NvtWA24VCGSw4M2GYeSAtKc++gtl6nDiLSWYi+MPFnsFfLZ/WVWpMRMvTeFAmcs30SbyHhQzzzQScuZXAfTa6uKQUXLpUzZ3I3+abUzPWhZnMFGbDhvCt4lLWwXQ7mbEhYxwyPueZIBrnp4KAseU780YlxKwOGSuSeTtOjqvtU+tnnNPl5FzJTBoqBx4iaVxMJKnWh+OjxaJ1Qf8LwFAYUq8cMxUw46qOm/vYKE+hnDE4lQrWM3VmbjAPEwQjCMJ62wfOJepAv2o5al3m+AiIcltEKjGOj+VTr0c96lHjPtVN6t4/UbPGtZwb6eIUhSrvcR5MEw1CapukOytdVgYpnRQyb5kHZNC9zR6R2n4GdXNzrNe0ILRC1DghhZ/vTmHkYshNm1pcaTnoEmmtPduYTE/oq8xCweECtY4tw9TVye8wE91OPq8gsr8yaK47xDpDul5EoflOr6U1mC5Z6mFuxAQDZFyOvlBAyaBUNmy3blQFkmNlvbJPIPPsKUwnCSnb6TjkfMjEqjJGhYB9b9+1iksmmLU877UPteT9XReyY2QfZ1+nVZhuL8EBoubSrSZzzrXlx/FKqH26MHUnGot1LqrQCflWaIh6zD4V/u2aSLSn99nmdFU7xrrs2hhw5i21ns6HzD3pnHMscv6vRvw5rXf3FToOhh6sa7ootwLm7GQagBPbJLQZ8n4lxFmGIkNPLUlKxp+BZ687qWQsuk8y7mXZliOja2Ne/mucy3cJlvB3g8BOfiwL7sujz1ttubUmXNDCo104GZ/I+smwqAtuFe4DAuxeGq0uGaPuRZlRG+eBEjDgdS0EXSTG+2QUWALsJ6KtosD8+C7clmq/CetvY1QZr5sUb/Ff/85500cy6gQ19M2lHBcFTQqR9n4Fg0zbMcl9U7YpyxbV6JxL8FDG6DImpZWZSkzrUk2UnApJxnKsl14FxhOXqRZjrouMGyV6Mdehlk3mkGxjUm3f5dzdWDv1fbt2VaGSymeCdayX5VG3BAwpKPvoRHg0Utmzr1se064J+clOi0kNwImzTO6dEP6Ze2xcYC46A9u5EJOxOJGSuaXGb/A3XQ0ppFoGlwIlXTWW2RfMd/HQDo8gb8+ykSxTl5FB2RTQLtiEEucnNxbSj0JpbaPWj4s+F3z2NaTLT+GUi7oVKG2/8U6PW7CfW0GPcqTFmW2SMnloQsRb16hMD8aYaXe2YhypBOT4Oh+yLdnWNg7XzpUEOqhUGMNIiyiFrsJF65Lvxhn7FLG0uHBTUbaItrRg3OvjPLTNLXpRZUoLwS0V6ULNMRdY1ApzrTGFn+52lRe9JF7Tu3DkaN26Qab1Wh7CiXbQj6ydjRyGzuPsRyiBTrnmU5C1a3k1rqfwzra2z+RYtAritNAgpLZJTNb2QEJJhgW5ENugZWp4ULqJdB05wXLx5d6SfLZ1R7jIXSx5to8anG4S6+xeFDfk+lxq0+mawg+fe30oLzMxZ1tl0iIL3RxsvMn2mSSXuIAuEmNUfRYL5M573XzUPxlz21/prsu9YXlPavsm6U2Gkm5P3y3TbkEY9p059AiUk/FABr8VqTln3dMikxTc6SLL3+2DdNfp0jOGRhYHs7On68l25HzmyBL+/dKXvtRd14VnvbLdMHy8DvQjMThd4maHR2i78Zt7AU7QN3oT0sJwX5wKjRa7rslUftw71FqCvJ8xcE5hTQOoYN4I/AE8xHUAB7yDo2nI/HDX0l2lrFcBxbBcfDFxIuLFxLRQYKp1PAmgMMn1lut/K1qfMkGzHRqE1DaJRY2byACxRyW0QcrU4FvNMDUkFq/Hi7NwSS/U59LSZ26MJC0uGL5aYJr3XMeVxcLU1acLTdQYC9QjMdwQi2uVxQrQot21Th1M40Td3RzqWU8Zq0i4fG60VSDlxmbjCJ/73OfG76TeJoC1PLVp+0AoMe01ezsMKve7QLQd1x6MmLrzHEFqBI3ZIRSKKcxlhiashZnTd56Qa1Bea0HmmLEb68oY6OYz08Ik5uMBk7gczephOzIOQWJcfgfwoLvPvHkJePD5vEYbBUFo8SQyrXUt64IWJUjfeb6YLr5sE2V7DheuXa24BLgwz3yGetB/INx0t3pfCiEFr7E6LR9jfQmC8X4EIOvMOChzl/liuiGP70jQD2Vxz779+8pVh64aoUOPlPvvv6fs3bNQLjiwWI4eQ9jzqXHJo0fJ3zidsaCdQoOQ2ibpwtD9lAcOpussA6KtlpkbUGGa6U7RV5vMKwPf7gvK+Iu53EQ0uTjNMCGKSTQXH1127qjX5eHCZ7GyQGU8Wl/GlHLPBiQiKwPRBpXzlFE1X96vMBABpzDSGhDckIl4FbJal75Dhmsb3FuVQWaYjPX2WQ8xpDwzldsXlmlWC8tWmHmUvIw/kVYZm8tsImnZbkXGxRiDFPK6oBKIoWAyrmcCZK28BF60gtt+tb8UZhkvSktdRck5ovBxnFXOfKf9DDmHEpSRiowCx7abe894VcYM02NhrNI9Vm1c0nWTaNsEj1iOCovKj+O1f9/+7kTgKggF0iC4Z8f/LixsjhkNdOY0CKltEhMV7TV9/CbgFNxx++23b1rcLpxE82gpeUQ3f6Op40bx/hRUntbrqbHpvxdB5R4kSO3Ts3VcnMk8FQwJF9f/z3vMpycTykC25WoN4cbS2klobIt8Siur1bztA0nLJZmOlIhByzB3HlaP2nHG6Mxv599o7LRTtGO734VyFSrmPbR/khGrePARqajA5ZMavcdBnGzfCsqLKYdkwDJQwQ+Um2mHrAOWsUw8LXvJOZkWn8+mJZUWdCJOjXd5v4llU/lK4Wj9EnTh3DW2ZPn8Tl87/wFJ8L0VnpBI0RzjrENur/A4GpVCyvfIGfNKJoDGd2Rdu31Lq8tlbb2Uew8ul+NLpayv4QLGfV37D4E1paC6HUODkNommQMvA5oschkK5GQXUScgwMWYaVFyD44MMHNzucB1KRHsd8G3CzMD6dY1g8xqslo6bgB1s6LlyagyBY7vc/GmRQPp9hPOnGCNTLmUCUAtM+MHBoiF4ibzS8BAMmHbrnZsVoGMqcno7QPdXboWZVT2VzJbYdbcp5uUd3l8hPWWaRu7apUN+0NLKl1SffOM5xA4tl3rORlnJg/2PpWevuB6ChB/b4VG9quU8Vf7krmDCxULNdP5ZDy1jasmeChBEmmJOoa6otsEwr6jRS+6hlLQ2D7nsif8ukE+U4KpEFiO9be8uh5Xy3pZK4cPkdNxtZR1xp3xrtbgtMK+dxINEPQHgfpQNWqJAhRcjFg//IZw8Thp4z8ZZG7h2Wj0ZpDOwLibMCnH9+Uid6EIbNDNAbXCQtdNLuw+VyPlmksv98zkPcmIJ/3teyHeaeJV2pmWi65LIfR5CF37Xv+17xQQbbwnx6gP0GGm6VYYSlqe1Jk+NdWPzLtvX0q23X91qxk/mnRUx06ntKozv92Zkn1p3NTxzOwdO4tat95Oq9/OpQGCfpYJNxIpYdL1kqixFkIL+IAFxnlFni8kggmC4ZnB2kCzh/fh6hAoIAIPho0QA1BAIJhniQsYzNd9qNaoq5DfteAoT+Ys9Nb4jceLa3VQH9FpHsaWe4YS/q0QIihNuwjmK3R8xnQzAh2oA+1AiPNezuwxDqVmb3oY+ts0TLQ5LRLKs01QWqB+Ny6n4M4zlDwdmPZ5Ki31M+6kEoDSoevINpsz0X1ECmTK4V7mgP1AmfTRl7/85W0z9nNJ6WJ8MNqRyoHl9ylyO492ct2mkwYhtU1Syxf+KmpODT5db3xguLqeTG8C5T4Pn+F3NAz3auSZMDDFPITO01eFFGulqYUmqs6UKsZsPIZCN5axKTc0erSGjNq0NgrMTFqb2rRtNH5joln3B2k9KVhEWiWDt66Z48/+4l7rpyDXisk9MO7Kt08hvtsOlQu/68qxHsbFeAcfBatjrzUmbJlrPqs14O+0O5N+2raEvU8rPdgCpC1rZwvxQTidLRqE1DZJtJKMHS1Z5m7AHcakdaK7qsJTj3auLaj1zedZTd4LidKyDJFyHsonSs9zkIzp6GvX+qJ883opLBK84H4hmbfX1fxlyIkqzNiSOd+E93pYnIitPMhNDTyRjQoXs04k6MFUOFoukPfngZBaTma71vpSaPh+r9k3viMzLrgPCgFlUl83POuqUwkwztZuaLaujqHC3AME23O/BhpooEFIbZvMvG2MQmYn3LtNbSRzhCEZBJcJIuywOjyWgt8UYhn45V0mR5WxgXoTKJCpjXS/iOyjLtSX+rVHgmiFtOioTO8PkpH3p+slYza2xb1abtjlPTB0j443aSz/WkYCGARv4PJLQIIBd4i6mtjTLO+ixxJBlrGMFBwKjQzWZ9zIcTIGJrLM2GCi2hxnFYvcZGz7REfSpkwyq8A90yB7H2KvBToMNNC00gCc2CYpNLQ6sCA8aydRe1s9LzNFQ29P6DS+kZtWtypLOpfDSt3ZeGucTsTggHQ6c0pLuxVKiezMayko23J2tutsoPOJDg7AibNLuJLMrmAMCeGEcPHsKIVQ7hFRqze7twzFmA3lCspA80Z7F3E2iXaKvuEektzPNAio7ZFnQiVkX5g5QBhh2lhrzDWyXzBnPMeJuYZip7KjK9iN01q8GYMbaKCdQIOQ2iYZPPf0U+M8un7y2I6Mq4ii0yXnnhqBBwq99qiCaSHRigM9OGTGb1CMKjkeEWMKJISU4A9Qo8a93DZgxhDjkekCVYlCQA1CaqCdRIOQepCAE3lEd6ZFMkYhYMD4BNZWouEUXGY0IGODGSeSmSj4Bjq/SODHU5/61HEcFEHkIX3tGVrMQ6yvFmEqgCZjfG4iJuZGbBOgy0AD7RQahNSDwDxY3JmXzCB6Ain6dujrtskAvlotbhoEWWaz2CoB6UAPbzIzwq233joG5uD+RSESAarrTktc4ZNCyu8CSDL5KmXiph1ooJ1Eg5DaJqHVkq4l98NkzCmzR/dlR/B6IuNMySIiz304bRkDnT8k2vGzn/3seH7lBuxMldTOl8xeLtrT/WIZD1V5Guj0aEBSnl0ahNQ2yZxffTnRzjSGlFkToPx7WAznJwmTRzC5381N3swJLKDcc5ebgxNir0AyHkpsylOljXFxze0NmVG83XLQtwHZPW5uKhfGr/KlcITahMJ9ZeW7zNBBuWZBcR+g5LuN55pd320dWpVuyk5lUEUxEwAr9BM5qWDneTwn/OuBmLynzTLTKqSplCbSUqQw40KZfD8yArOorLZ93CZkljJpcybZnUb+cdpC6pOf/GR597vfXW655ZbOf/3BD36wvOIVr+h+Y+G87W1vK3/4h3/YZZQGTfTiF7+4/It/8S/G58xAHEtOpuSkm2++ufzKr/xKmUZ6KOC80zi5BnrwSIZpDkOFCQw792ZlKijjnbm/Tksqj18XWME1maZ5H01HJUrV/V555EZ6EGTAbp9ws3IeXyJlDkbLkcz6YeYSXZhmYHFPoNn4swwFpGmrjP8an+Od9CP8ifvda2g8OAVjm7keMusLdfG0A5NKWx7vzNMFJLelKETM7GI+TgFWZqLZNToby72P9o1hAduj4HL8zENpH7oPbxot5dMWUgzEM57xjPK6172uvPKVr9z0G535F3/xF+Xtb397dw+5yv7JP/kn5W//7b9d/vzP/3zTve9617vK61//+vF3U80MNNBADyQEAozriU984nizc6bCgvkAeOBUXQ9ThInykZErNLjXvIVmQdE9DYNLF7MbvM14AoMm7yTv5hDC3IguKRTND8mzMPKW2ec5YAoo01LxHsBDxHt51uNvQDfyboRPCkRdbn4EkHh4Y24Ip2xzMKJM01eWyceTekXgujm93bSu4NQi81BRQC1f//rXO+AKdWcbiRYa7zONF9fdV0mdPYuMMr22MEJcekZcK4QdO61ej83RanXj/N/8zd+MY9zTFts+bSH10pe+tPv0EQPykY98ZNO13/iN3yjPfe5zu0wFnHQpMbAM4kADDXRy0lrI+KepqyABNqbTEryTmSzy+AwFV7qMtIaSOWs16OIyfyRloYSaKBdS0PgekYTpEtf1lzkqk7Q6rL/1yUwreUBhxoPSKvM95rd0e4d95Efh4jEnHrGTm6czVpeZY2yr1oquzbTyfLd9aDn2r2XkGEGZD3Np1OdpTSvMjFWabUVFwOdMBKCFaMq2adq3eNZjUm7qxJechAvwn//zf94Jrle96lXlLW95ywNOd5X0yUr4fwca6HwiBQhCCi3afIQQzMf0UmrgyZh1CZlbUMsgKV1teVaVFlSmiZLRgS6kLibylam7UVjhotC0fumG1IWooMmDC41Z6Y7jGdOBZXb5jJclWlbKmI1uRF1hMnmIvxXaWiKZ6UW3aAuIgjL7u8fXGDs020qeGKCAMv+m1+23jCNJ1gkhZTs9bBSeaL8miEs0Z7oX87Tucr4LKSbBW9/61vIzP/Mzm9Je/ON//I/L3/pbf6tLnfOnf/qn5cYbb+ziW//m3/yb3nKIV910001lJ5JB2jz7pvX9phbjM7hCnJCn6yfOM5Das5xOpwwWamqs+Vvm8Rvo3JMunxYFCiUzUyk0DuM4QwqpzBS/FbNqg/qWZ2wLSypdX1JaZlkWlPkR0/JJQaIwkfFrhWWb+1KAKUTMsj9p/qYwy3vou7bO2bf57hbRp3BIq4vjXsz44Xvtb/NN4tJUwfDUgkyQ3BLvgVdmXkyFarptHSct6QS9TFtKrG3l7qNjEjiRREdff/31nS/0E5/4xJa5mf7zf/7P5ed//ue7heiCOpklRdqXnUD6yRVUJlO1vvRR7p2CmDxkS9dHnEKiXYQJDzZYmpkr1DYzy7ZHn/PeDALLlNQG0cZ5d+YY1K2SR3HoHpi2yf1wIoVLehtaJumYQ+53Yjw9ToS54hySean1pwLlGsw5mYg55k9f+qQ+AIXX2zyD6UJMJc0y3GMoJXhDi6K1mvib9UgoAQHaIuJaQdheVwimi1OFrS8xcb4342KuGX/ThZmoPPmF8UTHyePr0xU6E9ao42NdvUZ5WLYIPBMK8G8moc6EyDtJ+TwnufsY5L/39/5eh+D7+Mc/vmUFoOuuu67rvG984xvl2muvfcDvDEqf8NoJRPDzh3/4hzurkIlBmxE8uCUgJi+uzvRNw0h+6Id+qAsK33HHHWMffrow3Iypz5s+5V2iiZh8HvFgwNaFhGLAQuXAQJmR7iEmBOXwnTpTVzQ6GYDBdLVR3kObRBgNdG4IBgbTIbAPtdqxWU4YW66xlmSeHK5p5noVEKHNMDY+eWYWuSizbBmjZ5DxN/OIuasQEBFoxnmZecafIP82W791yEMpeQeKXzJ+5h+WifXx4EgtONvKWgNJ/JWvfKVTZlkvKRRT2WtPEVZ5Q8BRtzw9mzVnjE5LRQvG/JuOiYIh+98xM1VVIgdFFTJ2biVIa29udJ9nsGU8kfZRJvPjtttu6+5hnJgnhFKw5IxX6qI1Q8m00PzZElBMkj/6oz/qOv5kxAZFOtzBnCbKxazJzoRj0jjRPOPIeAGTXGsHQaG1lL51YwIwDa+xADNIDUNQYDFxEUz8zuKkXCapAk5BRRmMCYtPTTEPIcxcgdyvEJOpDHRuiLFgrGHOkG6wHLNk2qwlGaAwdZGAurlktDIx0ymZsFZmqOWQhzMyZ0CmpRUCw3SPVe6P0r3YWlIwUOtLHZirWgAqffyuSyu9AsxjGbRWPteFqLtWuEdmr0BK4WnMDiVPAWw9EVIQ9yM0c90KyvBE5zwA1L1bKny0xXiciMxMkeZ64zt14H6VxoWR4BQwoTXm+yiv3S/l31qWzgMEIG3aSVbUWRFSaFy33377+DtQS4QMHYsG9nf+zt/pYOh/8Ad/0A0WgV7ISfepT32qfPrTny4vfOELO6bKd0AT/+Af/IOxljhNlGihhIcy2ZwMui5yQcsYuM9JlpqS2pYLwqM81NR0iXgSsAf+8W6ZBf2pVse46RbgOvcDlfU5F2u6WTwNV+1voHNHgiWcAxn7lBHJ6KBEgKVlA2m1576qdKMxP1RucjNvnk2mQFD4mFwZ4QAz1Mp37qq5J9wcZSrjKXnApXNZt7P1VWg6x90zlW4vXew5d3VxtpaIrngFpNB0XWQqiO4r0/Wnm879YFxLQQy5fnlWS1LByr+GABIar1LruxdHJ34r8BR+Aj506auwQM4L+Yjv02MzbXTaMSniSwiYll796leXd77znZ2LqY+wql7wghd0AuwXf/EXu8SpdDL3/9zP/Vy54YYbTtmlt5POk3KfRO6ngDIAC7V7E1JDhVqUUxtsdrFblvdmclrfyYTVmtMFkbkCM6egrgzcAJkBQI3NPTkJn01mt106lbIezPc91PRg1R3LCGanNs8ayE2gqQD5PudNxl38F6YFiQ5zwy2Ch832HjYptfHIdp6ydplHWBxY3ggoD/XM+/sAD30bd61fMt2M83jaQKIEbX8CQ3Id2g9tHApS8Kow+j7dbdQnhbnxIBXTXDc+a3meJO0m2zZOlt/b/p5p8ntaZxUGPSuJEtTyys3W8ALqhGK602LLD3pMCkGz1YI72WIE1fdnf/Zn5eFEqaW2u+izP/oEUF8A1wkNOal1p0C63WQOLhSD4Aox90e4uNQinfTpQsHSMmDsfbkArEvu/ncPRtumvnZnMD0hsrpK1KJd/JKafrvPpH2flOloUmtvGVQyh8ytmIFt65huIvuxZRxtG20/zNR5kahMx6d10UwiGbUafM6zrH8izyb1T7qD2g21fEe4qKmnO3sS4MD36XLUdafmnig5BQfvM/WPY58xKNuXgiZBI7q77NPshxx7mXkKkZyf2RcJo88+0dIzy4a/JwChFTCW5VhL7cnXUNa/vQZlObrhXQvpwUkAR0L3IefxNCp6Q+6+bRJMFC0XTYAJwo5ymXf6v5P6hJXX/Wj6G2dggeJOZSLfeeedY4aAe8XFiPaLsDHVCmXoo4fMLSapcaIxJ7ovUYDJBHSj8PEwRiwwKO+DUnilm0j3g64oshYYhEfb05Xh++hbM30LSElmmRapC1MmSD0V8rlvRQaTR6lk4lU+tE83i8ASA+QyrGRqCeVXqEKiUMkGYcxDhpGAgWTKfZRuPMg4TTuPksmlsuM1XWOJfFPztg0AemS0KaDSom+ZtP2Ipu47ZJpq/pYvEIqYKfcwnxVSSZaTYIMUOL7XM7SY2xmLyewV9m/2D/fpJkswQ1LOL8pkDVIWdWNe2AftXMi1a+opLUYVrUTtWk/rl8rlbKAOmUP0m4egMg8gXaPtlgH7SwBVG7+aBhqE1DaJiYFGaOLLhGq7MNFM9bMndDQFmAuaSccHpkbZTEjRP7wDJk0cENcKcT7dHtxLLEHmwztZ/PrYEVYyGXfEG3OgXgomnmMB8CEjiJqjTESGQJkewpfCzMmfaC6FJxYg9SXg7qJSKHE/goF6ptYuqoo+MfanH95gt24NXZMKmnSFyoR0GWV9iZsK/aVujCd9K3OiXyflPWvdazJ1LVr6h7LpTxF4XIP413tB47VWeN+7qFfGHjOfmzEmNX/nl1sM+CCAYG6eReX9kM94zXKg3DdnjEULkw/jyzjotklLnnYzn7mH9ycQgHK5Th9zjXfzHP1FkJ/xJNUTdaV8BZcMNzNecL/udxlxHpNj/6bLDaWSexxv41TWUTe+aYdYgwopnlFpMaVRZpkQCm7fpSWToBSBEOx/MpaEy5V6LDeeijy8kjVBv5miSsSmWw58T44R/W+y3WmhQUhtk1woMiAzaxhI1aJiEvObTKVPSLnXgWssUsoVcCJIwoC2MSeZvcw6LSIYgwvU04Oph75rM18rGLTeTAvDMyKKtNxkjOmuy30brdtLmK9MW+i75bhBlfutS5+LE+Jvy1CQUT9daqbf8QBK+5n2aL3ZNq0ofjdhKnUQvmtuOIEJbgcwGC4TbMcPsr2ir6Bsk8zZcul3tg1sxThkbgliMaddumhVRuxX/kaY8w7KRwlR+MPMrR9kElPjLzkX6DuT2JoPMNMfJXo0gQAJROBe5rVlZ0JVxp6PsROtfspiLITg574uylGg2n5z4rmZVwtYBGt6CCAUOZ6nTQpr/haBp3KmS1IlTaCIqFf6MjfHcz/lOD6mYMp5l9Yj7cKjoBA2R+FSxIkzSa9WmnwFpUPoPP3lGs21xzNm7JgmGoTUNsl9REx2NS4XYGoxQkDTwmj95O6FcH8S37GaUuOSUbBnRO01YyD+bWJJyHxkQl11KxjQpQw1XcrVaqFdLioFZTJl/2196umi4IPglWkI0ZW4puuKPoSJZbA4GV72k2hIF2zWKbXf7JeMD2SMyQ3V9K11yPrnHjLhvC58y/J32+S4G3NDOJjk1AwKuhf52zpMIgUCgCOIv81mkG63JzzhCR3j0jVqfMm5yBjzN7k0dbv5rMfKY71nTrgE31jntg8ZC+Y37r50uWkhuSZ0vVK/L37xi9113qFVp1Xh0RfcyxrQYso1046FY6BlnPFXBUPG6vhXAApWjIqEczD3YKXSlXVQKCk0Mi7oelFRzbUueb/KkvdhWZuJfjVAEipJ7m3T06E7nPbwG+OIq5yMFu67YnwFQU0TDUJqm8SAq/EZeG4ns4wuU5Sk1SHJWJ3UUMZgLB+ScWr9SE54y0hGna5GKPd2wFwUbGr0Wg7Wv00kmvWCWivKe7TcjIWYe1EXldptxoskIfptTCHdeBlQzyByUhs7sB90z6idK0zzeb9r1bnQHaNkmr7L39qMIPytNaN2nMJzq3kG+SyUQXIJJcPjHWBaunbsO5mdrrtEodnvuIRE2xmzSWHvmFknBZhKlOOfkG/jJ5bl3iTvc27YfwkC8lTiFgWnlyCFtIIrwS5Sn5BwfWQaqYx35rOt5yPdu87dFFIJ3mjBErlfzPIFqkAIfNu2NlJ40hp3Q671RjDzjH3sdhasK9dbumjPm7RI54p2EgQdahlie60VMi1wIpn86b7TxZLutjYXn9ReU/vLgPqZUgbUXXynUgdIdw+kRinhujFuZUyq7Yfs63yvLhwXLf2SR1S40FUoUvPOa7bNeITWRdZhUvuyvBT4ycygU9Vu27nWfjfdjgI4mSCk9eRcVBv3ORUb+zHnq/cZG0rNv4/U+s12kdZEuwbOlNKLcLJ52CpTfWX1rcW2rq6bBHTQFwrZk7VPz4Tza9K7JtF63KO1ZtwrPTXuMUv0506kc5IW6XyizN1n/AVKwZGTn9iDiBz87KLvWjeCG2kTupy/W3ZuFM44ghNS14zpUNBe9Wvjx07rKjXt1LbTMhL15amrMkPv0SVhfam/Li00dL4nhF7QCYAFNUbqKHMFvKF7QyGlG5O+FySRVpgaONkZ1CaxFI0R0eegtFB2qI+u2TxGwk2sCb8nlsa7TeIqOb6itBKpp5vKwwO1EnQvKjRxN22lKBh/TLSnDFIrlOfz0MMUsiovboDVyjJfJuNgOiRRcjyLG1igAHXgPhQHYyi56TwRnGmNOD+1VHV9ClLwyJ7WNetzWkSukQTWpLWRXoyMezknjBmBJKUvdK/Sf6ZhUvjkfNdSsj91TZp8QIHNeNIu+kbrj/eTwcN10brlXW+pYFLXXEcrI2+HVifWsn3LGlbBUCCl4HJOGVfT9b4dhfShpkFIbZOYEFh1BlRzw2ECDCAmoRk4ICc6TNPF5IIzVgBTzKMBXCiZCgdKSHXuPjdm5bO6WLjXg+ismx9BIOlic9FqeZixWabr+4wR2R5+MxCfx0nIaDx+29QxPKOWyXctKS0Q4d/8hnBTu8+66iri2dyDBYlMFGJupgERWY6Xvv7UTBkrGUJurG4Fmy5Dx1Fgi/2lKw1mTdt5jviS499HlEOfizwzRqh7S+Ev7D7HXOFpgF8Ye2aBoHzGwDHUijIlltfNHWns1Trktoe05pIUYImw9PTctGBy7fDJ86Rsk0qZwjHdhV5XmVJIGR+kTa4Z3bSCJUQdttao2xQU9OYXtF+dS457xqVEwGrV51pzvSnAnONemx/xFJVV1hDKnjyG8RSEpNtUF7lucmH8gibyjLFpoEFIbZOcSGq3LGB9xS62FoKq1sTCIEidsQ5BDlBueIQSTSXaSU3Jxeai9aOAFNUHpRbq3h3PAOJ5mD8Mi8WgdQHxDrTndB3JPBQGoqJcLKKUXERYNYkMywVquRn7cte/LhIZMt9FUiZjy/YnHNhF6RlCCAjjKFrBMhHfJYPyN9oucEBBmXu6rIcCJQWZOd9k6nxgGiJDnUOTSEGgkMr0VVo6tEclQctSdKJtt57pOhXObOosFQvddN4n+s/j0hH0GYezXlhk1FW0mpajSDiFowqB89BTaI3/MccpR6Gi9a6bUtJ6dJ3ZD84j1hAfFQXGDMuaT6uYuK2CPuL3BO44Dl6zDgmcwFLxdxUIvQTer0tVCzvnsGjIVA5XRwKY+e78dM1znXd4okEKONeB/EKrbKe6/SbRIKS2SW7qk3Gpgbk/wwUgw0wElxmgtXxENDnxWgCA5ryT0X0UCT5I9F4KKZkz5MRlEcogcw+J70G7b3OYaQ3J0IxtWKaMDDKArSUDU9bVoOUl0s2Fo/WSAst3+HvC1r3m7zJZ+9rNyvaJGeNxr1mHdO1ZpmeAKciyD3xP646VKarlZ3C8zY6gYNC1q5CZRFofbTk5ngnNTlesyonIURijbh/v5W9ce7rPZN7J1LyGuyndjVBq5grezOHnvDWzifWm3eaQ1MpS0GsZMg9Vwpzr9oeCIK0G6ux6hGD6zDPz5Rk/StSiAtW+4j28VxKIkIqnFmeiHDM25VzwNOHcvO04JuhHSosLkieo6GackXprRedhi9bHduomH4AT5ylw4lQCultltoZ0raj9nOo7oDMdwkkBa7RO6kU/5z6LNgif5WRsRGEHo8Ba1OIyc0OimNq66CJJa3BSkDvfLbWB6K3a3ga305LZqTDdPJuobetWAI6t+jqRirpyvSfz752MZLpmCdG9pGKzVX3adlCWbnSERSJeM66TArsPlARp2WpRIiyMSeX9WoLuA0N49tX1ZOszXX30A/1BH6TQyzkrtSjA01nXMxEPVgnImPgkMNVOoAE4cZbJGEdOCEgNS626T6ioifmROeSiNWirL1wzPq2sDPq7OCQXlBpbuhHyuIBkAEKJcXv4d+bNUxPU4lIQIdyYcJ5p4/lH5nLTtWHcSTeaGb6Nc/CM7sPc12E/eR/PiFbzWGw3MAsgybhJK5SzL8wG71jSDvu9bf+5IF1DZBbQ0rFeablJOa7psnJ+cZ22EngnTureINxCvMP9VZL7u9TSjU+11qcps6gP464bz/537mQMNeM/6SKVuRr/TFi6R+JQvsdyAEpybSQYwb6x/oJ53BQO5dr1WsaptIqdB/lcWu+W7UZp6oeQMkOF1r2oSoEslK0w5nfd4gsjQScACkpXXiocAIV4rxYxY6nXBbBI1nuaaBBS26QMtKqNp4Bq0UqSzFGGkSgpA8QyZd1CZltPqLSak4ceJjrJxW/sB0okngfCtQg9F6KADl00Br5FIZn9woVmjMhguELK/lAIs2hMGUMdPU1VF46AB0Ej6b7g414h43KmzDGjd7tnzQwPLRPPWB51MXuFSoULHEr30Lkg6kc7YXS6u5gXCqm+/WKOo9fbfIq0Fcbmpl/HQhAL5LO6BRUCCofcSOtWArNYmAGF39pEwZn82Hil6YUgx844jbFXmaxHZwg+4l+P/nAdtBaaQl3mr8Vkf7Vjq3AwztcqZwnuMJM87dAapY4eKSJcXZedaZMETlG2gBrKN/65a6TApUBNRGPyFNaN2yRyywTlEl8+EwttJ9AgpLZJMLYnPvGJYwbPd62fTCaqD9tJ5eJ2EXM/bggmFm4OJykLlCwIaFlPe9rTxnEoBQT3wmQ4ZFKkj6mKqIs+aPPzZazMhZkbM029xMecdRkjg4EJToApwCjV8nmfiMGM04hgA2pMOzhBlMSrBt5Fq7n/yFRM9IVuCgUadeZ56kT9DDSziNUmFYp/9Vd/1ZVP7rcEt6SVwd95MJwCOwU+Gjpjg4aae1EeSsKqpb/QyhPebxvUuCFRbeaBTIShJyyrDAmcsf1miXCe2Se8i2wXptICHPHkJz95PI8FhghO4Brl8C7qIJpS4aPQg0Q3Muevvvrqri5C41XKsCy+/OUvjzerPulJTxrHZEQsqmCk2zkVRbJsMI5YjvTnNddcs8kN5nw1N6HIRv7OdEi2z3RinnhNncmikSnLjKMJU9e6su2um4yP8jtxP+pz1VVXddYu/2b2j1RS9S74zrRsVVZwXfI8vGLawBODkNomGfh10AVBiDDSmkkkE6SAkuHxr+lrzFsmczbwijaUcGn+1SWma8vgr0cmqD17ArAxptb37X1McjU9Y0fGJdLq08ITFCH4QtcO5EJSC1YQ8X6DyAo0tWlh8tYr9ykppLTs1LIN0me8gH8FcYjS0m/v796b6DDHJNvl3pdzqYWadghBaf0dR60H3V+6e93TBYli1GKxvdzL+MrUaStCOUEYaTln4F/mrIWSSgDE+0QNatEl8CP3NfFeEyvrYtb6FZCQ7k1T/Qj4UKnLcWxdYgKTuMa7EASWZz14XovM9ePatH0KCteoa879ibrz3K6hhZWgClGGCGefs26Or3W4557KXwRvWF/qiiJHfWg/9eZ9el5yK4LQ82l09w3AiW2S2mMfUizdfDKT3HzbgiT0nydUNJFauX9DbU5N10Wtq0qtUEYD1F20j6lyUki58HK/lnuskjll/r50ASZ4ItFwUG46ZbHAYIwpeG/rupAyTpCuFRmSMYMUIJaZxxhI6Y6VtEAS2mtZ/q2APx1gy4NJtlO3T1pzjjFtMzM+lgvWB0xQ60OBk/EUyoT5ZbZzs8pD2VZReu5rQ7snx5x777JMyqEeCqmMEfWNs0Il3X2S4yKThjxRIO9pPQSte0uBI0zbrRK2O0EYuS5UArzeB1Dx3kzSW61/1k+F4Fc3N1b7ZtvAMnOvmWCTPXuqEjY/X61Qx08BTq5GExTnHrJS8nyrqlBOAiHtdODEIKS2SWlyQ/rrDboawBcmmovZiWa8ow3GQjk8uQhTo4IUij7f1tHFr1bs8y3DFggCg0n4arrHFA4Zy/KTdXSfFEKphb8nPN969TGvrKf39wFSJjGOdPe0fZO/wbAYM/f0mDEg90vlv/aVQfE85K/t+3xf2850/57KPGuTuyZIINuYWSgco5wj2Xf2565dCKcNhaX7lPUyUzYjxOgn1h/7f7BiqlsRS6PWJeNkmwEnlLNZ8bAue/ftLXt21yPOtUy0Cu3zzDOIK1GXp1auMTLh5ro0bbto1WTyOQd4RuHC/Vj7KojtHPOZVqHReqpxWVx7c2Vl9Vg5dpTDJJfK7l0I8BEacZW1QN/zbO2fubn6WV1bLfNzZKvHfcd78CAgZF0PtQ4XXFBd41WBGCmS88yT2bJvP1nP2bOJ1btc1roXlR1HA7rvLFO6pJJ5CAyQ2v0kLiA3TGY5MngZcp8g7GPAGVhthU8yhNzwmmlYBBAIjTcwr4tRZqO2nEJORpJMUECEkF/bnef99DHstKraAwllWum6S9dGaxW2Vm0KkXwf/W0mBl02IgeTaRs4lxmxuNTMjT+khp9COLVyhYN1OFkePJmqwt3xguEtLJB2qt534kRlwt2cor8XNlJcGVB3nMdCjU9k2VCJQQOvt1SmuLaGUlIZvO+vXgT6pQIJFhc3krumS5F7ap9v9HtmRnFDqvNMRcb+b8FCxo20svQ0uC/Lscv9bm6mtf+M3zgP3UDsmVa6zfus51yT6aKrLkzdq6yB+TIzS38x/rxzrszNjrK3rBAu8FnGDot4rswvzJb5wjM8L9iH+UJb8azUsenqvna0G8Bdu9bL2mpVKhYXZsqu3bPlwIGqJFA2z66slrKyvAOl1EloEFJngZjsaJmJ+FMDlBnBqGWst95663hTr1bKU57ylHEaF4VZMudEGMk0BFMY0NUqSBRbopRwB2Hl4JsXvuq/Ml+ZpvnW0GCpY57RJJPI+yGRV7SNj3tGCHrnZlOoujb2dO0zrxttAhDiRkv6FHi07iWhx5mBwUC2x070Qa9lJoIx/BsGxfEkHvqIoMadkoKXd9MWNgNndgXqYCzDcjMGaQyDMfGAPTcC0wd/+Zd/Oba4+wiLdP9+ACgVaeYetIUF3LMbGc5r948YrzkUR1bEZz/72a5PGF/60VicY+Y+m6o4mQcOAVcty6997etdOZ4bRdupg0K7a+/8yPU7U4Ue1zfaBKNe6ywz3vmFL35h7Ia64MAF3fjyzMH77+/GnP5nPtr3xj2pF/PIOA4xR64985nP7MaGoz0A6egSNMbqRmGIugPecW1QB89PU8jjMjXmmQdHbigIVSnJEwc+//nPj2JFHEpKCqnZcsXlQNTXysH7UYYAU8yWsl4BDUvLxAcpY63ccUftQwTV8spaJ8wuvAAUJcoQ44Bgw3XH2GCtgtCs84vf5mZRDBC4KEyznaA6eJCM+OzBJA0XWzRw3dexmBYahNRZICafaYbSKhK1pLvBBSOqysUso5WpGmCG3IOhRp8ADLN6pwupDSC3z8igLC8zDaSbKLM4QAZhtcS8L/e72H7jHQbbTSCr1g6lZUHfKVBTyCoIbWPG4dKSUrM1viaaLeN5PGueO8uEFHCQ0H5jZzK8tHxh2saLMm+jlEJbCyOPQoFOBdpe6431tnGsRmYh8L0Kqa4PdFGNYpHOrezDJK/ppquuvcvKygoMso6pY8YYGe+q8xMhghUwX92DsxuAmRozMwPCUhVSvG8kCN1G0QGAov9tm/MoczS6jnT38bcn+fKejXptPlrEsrSUMvZkH2jJCfjgvenKdY7lGjCWlOUsL/Mcm9hXO6Fz7FigawsuWdC0ZPinDdRxJMRn+LeU1RlcYYzbfFlbZw0zD+hD1jRzRs9LtZRKQQHA6l4tM7Nr5dhxQg30IffTTrfI8GyZGhqE1FkgFpbpSrSa1PjR9NJ60P2DkJJ5i7JyQmcMxnxmlCEz10oQEKGgSabdBtpdmLrwXLSUYaoiF7jMyw2akCl1FGiQ8TXh9yKNXODJ3GSQWbbuOwPtlJGILlMJZYLSPtLVA5nyRjizcRreIXjDnIOCSqwv/2JRCVF3Q2iisNDi1axVPhzDFEgZq9N68D2bA979JLquG1PuDReUY9FumJUQEMeOwezqWI03Aq+OUuiMYk5S50JbWy1zHQT6kSOEWrX6oHom2MFNytju3fX4dCy9jlPy3pmN8dETYDotbjreCVlQnxXN53lIjq+pfJzPZrtP91rGpICWKxTdS+fcUhlRcJmNPfvL9aRgNKu8G8X1YohgzTRMm4VUVQqOH6/7Fe+/n1ie7lOUh1LmZrC22GO5UO45RqqmKkzW12p8ar1g4XKe3FJZWl4ox0/o2q5ACMpbL1Xwde0suALXu7jT4sIoEUC44peW+BshhYKzMwEUk2gATpxFxF+i4KBk6AnVhRQGXtNllORCxYXGYs8jOVL4ZFA8tb8kv7vIcjOxz3pfAiJ0X2V8KmMr3p8nBruIc6Hn/TKT3AulBambxRiTMYKthJSWjYk63RRM3S0vUYkZ97OuxkS0wNLllyAC625bWzBIXwysjSlC7aGOLY0txtm5zkqZ5Z2j2AZMp4IS2s3iVcvm3tWuH6qQq+CeykCrFr4RiB8/D5ucnS2XXXpZ920ZBeEoUHUEQhUy/AvTpYwqhKoFMDdP/QQD1H8XF0YCbmkDgn78+MYGXZUAx9otHAq3dt5q1aXl3ObSs89tc6IDnUttuc4HyLharqMcb+9L4JBzvMbnKkhidZW5Unu1G6cxUIOsEHOdGw4BtbQpXlSt4vXOTT9T5kdgiw63Ny6rju/G/Ztj1NkuxkZL7FygU7eiAThxlqmPsWecBJKhJVAgQRL+2yabbJmW7o/UvvsYWy7eRCW14AGFj4HiBARkdoZk5BuTfvPZVq2QzWzfCmTLaRm3TMSPwXCtzDZTRArYjGsZz0u3iwwjrYysc6soQAnlTxcp95pJwHdkHkK3Bcjccm4k40yrNqHZW+mLnebc3bNWZkB7UeaqiDLaUy2mllF1/85VYbR794bwXFvDOlFgVi2/457dbyo4WH33dc65LhYzx3jgCuSdtH257N2DW5ZYFN9RRFbL3nkVDQL7lanOLNL/lItLipgM8w6PQN0L5PxJ0vWWY78Vtc+3cyyZs3P9bJBCNoXdA+rUWbX0F8J6tUP6TZIdKyulnCins4FcITV19kcvDUJqm2RurmSyQtB1/XhImcw3tcFECCXDc6+Ki5TfCdbruyeQntpHMjnReMZiMm6TGx3doMgHKLGuNffB9CH5EhWWh+GZN09LhT6hftTTfTi4OhUQCUF3E6qCAxeazD5jdz5jP/E3WhjlGvsjIG5MwcSiBN8VBJlcNONp2T9QHoDI+KmF0y4yjFCOsHOf8z6YrjB+QRJpzeVY4RGg/WTHEMnYR/v3kxZpvuzfh/KD1TlbTizjxlkr99xNih3QXMTMqraONYMQo7h9exfKbNcsxr1q1WjnHTNbB322WsoMsZoaFzlxbNTvXX+vdFKG6mJ9gTyD+R06xIGIS+Uxj95bDhyYL7t2r3XB+TvuOF4e85jdnUC8/yDvq8LussuI/82UQ51ba6asLM2Vxd2XlGPHlsrXvva1TlD20YPh6DmZAnC2aCuLBUv1xNJq93nwab08nGgQUtskGAxMHZJRZkodCCYus2/hubozXEQyfgUQbj0D92Sc0LoAeQSCKYPTMlxPgc16WZd0UYgC5FliL8ZIuBf0VqISvU83XsJyeQ+MmcB15lhzz4q5z3y/5ej/z70+3Z6ZUY6/FGaS1xWyxs/cQ+SZOwo42oLAEBDhGAk+0Rri/b6XPjCXHddNvpouSvfTuB/HzBapKIik43f7WivY+eC4ZPl9tLjIBtGFcumlCPOuFmXmBAgw0g/hOqpCCpRYF/sA5HGC2Ah1XSwLi1guZjJgXw3Kz0xZXFgss3Pr3WemE2JrZWUfIAmEF0Kvws4RhhWEAax9pizME/ifLbNz9D0Q9pkRZJqxrqAAkGcrK1gM9R4+PNPVa2ml7N47172fPqzxorNj2Qw03TQIqQcpwawasILBvUfuF5JhujdEASUIAjIFEoLJmBvavgzR3Gc8R1yKnF6mtBF1RtkmmM0YGAzYuJDWiUIik7JaD9ohRNly+GRGAIUPdUVAZRzNd9EWc8GJGkNgUL4peVr3n/du2ssTLjFhwgjtTIDqHqwUJrpdE8DBNeqscDdPHAIuASVaeemGbeHrKg2Odbo7taYcO1F1CmYT/Co8t55nWOjz5aKLeQahsVpW11Y6cAIuuL17ANUgpFbKameZgyCrCsGuXViqCMoNZaPul5kpe/cBn8eq51tFjK2vr5S5TmkAKAPQgmdQgPAEMD8QOsRJul4ueAoRfNV1PDcWSLv3zJblpVFgbBRLAVYNKOP4idVyUWfxudeKfh2E1EAPpAE4sU3yiIdkTpCCCMqNiAqN1kLwmlaIQeAUKrQbgumxxwNXmm4n9+hk3Kstu42LQV4zT5mghzx+xPbUIO5G7kEzkGPV4eZij5EHq+m+4/k8wFHXZgIkrEfGzOzPfM66JBTavGi+x+S06VYU4pxgjwRdWJ8cOwWHiEatVDd8JijEenvar3ul3EfWjofzwTqI5twKio4ltbBQrSn7sIv3jJg/RTE0bvLEssHdR/difWHdgAg8dhxUIUi0Woc6t+o7iD2NopVjUMVKF2ivG0UriqyrcReXOrGEQoSrs7oXV1foD5SAWh8KWF9jjEsVaCMwRQevXkXoViFNtgqE4CRX50APbxqAE2eZdGnJqPIk2zZgm38nAizhyTIpARIJfkjAAEwNcoOoSSXbd0t9vyXjT4RbGx9rn9XaUEgkgk/Gl/uwRNLBuBUAk9BSCcxoAQhtTE1EnHFAhbyfzJOokEorK8k9UP6eAfvsmxQsWmEJnIC0rKirgj/fnXVoEWqTCDdeBSwYjDcbREWBsbdGpF5tj3ummCMoOggRhBTuzREAozNyJguGrrxRKp1OEBrG6saG33ifWc1VLnBZ1/t0DypERzNxFNhHaaroVATUTkOcDbRzaLCktknGQjJ7gV3anuOTTCqFlCl1jE8ZJ5FR60oysJ4ZFGTciYCTqSbgIZlhi17LOurCcwOjAiEZqxtkJZF8CS33Xp7F+sCqAMCAQAcAku/2eAIEbbotE1oMYMFzdcyVRzn2JZalQtC9NWaccK+UuRNTKKaF2I6jrslsJ0AIYoECWG6//faxgHbMmZu4OD1yxf1XiRBMRYC/M8P1ZNrKJTj5uYjoPcgh9fWToMra+k4dqxnoIaDBkjrLBCMkG7SACSHLMCBjK7lhNdMBGZMyx5+51RRIUOZrI4DvEQMyM5ihKDIFUYIRtGbSjZYbgNMCdEMjTDTjbJnaxw2XCimeZYJRB9yP3pfpZhBSMHjPzjF5rfGzFIpcR/hQvglFjTVpGZlc1Ngb9RNhyTPmgEumb/ZwxyGTiyZcPV2cKgTGET3A0Y3W9Jlu2dZVxdgjpGgvbSJm58ZQ93rZh9QVV2lmvugnrRD/PjVaf8iERFv+IJQG2j6dtpD65Cc/Wd797neXW265pWMmH/zgB8srXvGK8e+vec1ryu/+7u9ueuYlL3lJ+fCHPzz+DrN905veVD70oQ91TOH6668vv/7rvz5O8DlNBDNCSAluqLvza+of2pNn6PibbjKPj5ZpIQAUWqaxyU2xlpGQdpg3zBNLApL5aeHJrBPqnhaPjNlMFcDILRPSlQbxPGNOHdjdnwIAIelxILlnir/NZq0rlHsFfCh8zAbhuUlaMQoh8/pB9qtxMz5a1p5FxXt1xWklKeQSTei2gMy+YbsVPsxX/gXejrCh7Sobju+kWKVZEihLoWVsMl2llnlyGhj/QOcXnbaQQot+xjOeUV73uteVV77ylb33/ORP/mR573vfO/6e5/lAP/uzP9sxu4985CPdAn7ta19b3vCGN5QPfOADZVpJzdq9MmjfmUEB0mLRpUe/mHla1FgfeMDntS4kEW6euOkzHk1Nwk7TFHmgYhuXyfdRngKW1EUKRo+59iiEtBq4xxNDE35uTrbcSOuhiAg16q3V43262Dzk0TZ6sKT1BizSAhB0beY5WbmBt23vBmhgAwCRhzam29J8cB7M50GC3KfF6bioJHCaskAXhR0Czs3G9nfGtk5NSA000PlFpy2kXvrSl3afrQjmi9++jzheGavqM5/5THn2s5/dXfv3//7fl5e97GXlX//rf91ZJdNEMlXdPvztabkyPA9CNA6hK0zrRbdUuqcSJp7MTCHjfboS3bWfAsITe43hmCA2YeJ97dHtKFPPHHO0L+NRUMZWsi3GxTLuJZMW8JHIR+uusIMsS3BKG2NLF126Gfm0B0wmUKTvOTPO6970XgWfblwBFlqMrdAWTJNCx37M5K0ZJ1S4TyLrhfVoXTOPne/ImJZWpkqidc15NoUh6YHOMzorMalPfOITXYwA7fvHfuzHyq/92q91MGXoU5/6VKeRK6CgF7/4xd1i+vSnP11+6qd+6gHlmURSUkPdCVSPMPjaOKGqxy3kJlYD+lw3ngG1qL20ngQb4CLSgpLhG2vS+hJiLdDBjOpYdVoleey8zFtE4MkYFffijlLAtAH+euhdTTx7snIUvDJqz/jZirgXS0raKYxVV2CSyoeW4INFuEX5PO5xjxsfO54bsBPN6Zi6kRk3Jb9hydHfjlVfKqKBBnrYCylcfbgBH//4x5evfvWr5Vd/9Vc7ywvhZCwDAbapEvPzXZyC3/ro5ptvLjfddFPZiQQT4Gwes2crlNzAyt8IGjVxTwd1U64bdBViMhFcbJ77w3cYk2f30E8IH1PtCN6AkSPQUAhMCWSqIsoxq3eeKdXmR+ujFghxpkIigQqnW8ZOEUznikBGMsbPe97zujnEceFaYMwFjzZJVCjzjznAfFCxwc3KHBAE86Uvfem879uBzjMh9dM//dPjv5/2tKeVpz/96d3BcVhXL3rRi86ozBtvvLHccMMN4+8sUoEC55oQQqDadN2ZAR0BY+Ac4ZIgAoWUR0p4LpAw5QRVULb3wag8ZkHXk5ksEPK63Xi3m049Bp34lCg1GRaxHa2xk1FCwrdDp2K5DfRAYkxR7q655ppOuOQmcgSPm4fdeAwxh8wjKbqSWDAWNmOJAnPbbbcN4zHQjqazDkG/+uqrO0bLfhKEFLEq0WkSiwrtblIcK88H2mkkIg5BADNQ+AgrV9M1PuCR2wgR/3UPj+mCjEe5F8jftJxwl/I7QgzrSTci1yiTa/xLXUTWfetb3+rKpXwD9yLNcuPtQDuTUCgYwz/6oz8aW+Wekiy8HaElIpLfUIZYV3fccUd3zRyGzBfjpK3LeaCBzjshhVsCpolfHMJdwYIDwv6sZz2ru/bxj3+80+yuu+66Mm0Es0DI5BETCfvOLAVCj71PRCBMxgMHtbIyQ4LXtNQ8DDCPi6BPvU+rLkEEaeX1ARQy79w0WjuTMkk8VM+e6fOnSswNkZKOlYf26cL9/+2daaxuVXnH92UUagEFvUxC0SqgKFW0lpg2VQlCjJHCB2sdUIkDQhNBqWLaiiUtFFM+aBS/qNAPRcsHJGqljoDIYKEaBwiCYXAALRgUCyiX+za/zf29/Z/FPufcc8+59+73nuef7Jzz7mHN65nXWmrpPEdo0Zdr5CHjxghKmNSW9u0ORa5u7Hdg6Jts/xZbagwPbTmWeS9W/sXeXdP4G+dLa6XH9szuOMFkQSsCz3/+87vzzz+/e+lLX9qbm7jwHbHuCa0In9Tf/M3f9BOGowjUhvBRoX18/OMfn4agE0ixsSHoY9pxYmhAGBKd2x3lce8QGvwEMjB3D8+uSNNahnLnwlH/N5jCe7lHXdu9bmzK3zw0MaPwJGSzBPfdWyxKbr5vMzpxKcjNZzenNupYMejFReND5lrHQ0Y0tgzCkP0892hzwrmQW2YthjYCs/WH5s4teQ9k5OTmhDut2I62a5bVe+34sPy5bVoKu/n99nHEi2nNV7dsA4WaFFhnbceJJTMpfEswpRYnnnhid8EFF/QLe7/97W/3kj2O3qOPPro7++yze5+IQPI79dRT5yzm/fCHP7zRi3nHyqQEEi11gWm7DsqIP4+IxzST5yMZlp3dwQBzE1d3MGAyuDaK7+hc/Q4OXp47QE3bhae5+BjmSP4QPr6nPPQNzCvDzNsNUfN+7i2Y2pgapZu/yhwN3c71YzJhJ3YSVk2Tufg2N+l1orIjPHmiuUu8MTPzvuHrwFB90sRs6lZLrscy+jIjJi2/m9cqaNBuCBuG+OvzG5KsLWsSzpSQs1zzjSku6mkbqjUT6WcZ6TfKhpAoM7DdM+KQtKhfRk3mjhxq6rlRsPVRYPJY9RSavPiGdtVCQF9oAidtx5ftkYTYvjCwiLGp2RxBl/uuXQPuNG8EsGOadFx8zndDbeuYVgPN3VXI07p6/I1ba5mP55WRD/XEb+h7Rk66HRhtbVsZGMUY5Fvy554RwbpE1q5dO12baASxgq37dyqUWD/StV62l2s3+W45wU8zsS3Sn//5ny9Ywf/8z/9cNA2I9ywv3F0M7vZAPT1WgokJIZLw5vlJuduChF8iyIBzKyEmuszOA/c8s4hnSsZ5JAUDQPOeZyZBWPVHOQFTs2Oy5Ymxhrm3+/05eSRKEga/cU2RdaSsEtjU3KxrSodJdEkvF0ardSZjYzIb+WgaEAAJj3XRJMpFG+C78awnyiuBNm+ZrFszSbw0u8IMJMSWJ4ltMvBcx5YEXyGmXSg9NKY8wFFGLINMLYW/buHEb4W/3MqKcaA50DIOaeX0WZoYgbt3wMBIU6EhtVG+YfxDFMmDvvBoEuZBElXyNU3HDu8YKcvYNg/q4vpD+9G0Xc7gLikKbApxQ+vDLEceXulYodz6l0nfiNwUPBgTuDI0r3oEjOOUv5SfeUj5ZFzu0sL44T5zmrQoK3m6YPwpT3nKdK67O4vzTO0t188B+t5yekwQ6aM4KISNiUkthtq7bzOAwSlzYLDITGAERCVyPyehjEXthsFkGDvRkRKJXCclwWbgMjG4nGAMfifkrbfe2kvaDEwm8yGHHNJP2DwDyT0E+RZJXUlXE5qTLfM2QtAoQYmSEjj5o5UxKSCIXATRSMjJLw/9A05uCJFagv6UlA6RSPNMJ6V2NGzbgHsQB8/RMn3awx06aAckX4kT5aF/aDfKjklahk06nMgrk80dJ6i321W1Eq9anHs76i/KI1lcrOyuIENIBgMoo/0IIZNB3HTTTVMthLIZAWhkqcTJnT8cK9ZHYeOHP/xh385EE1ofGSvfuctG7gNpX+SRLzxnLqg5uCSDd1LwcDwqSEhQ+f/AAw+c7gGZezjyDmMbywBtoY8tTYu0Ac8PPvjgKUPNfR3zDDQXSLsshLnI+KCN3FVF5iBjzd39aQ93DlHrM+qSctNPMinKq4sEumAanmtGe/neDhvmPfedN84T+oj+YF57TE7OCwUiaAntRxtQr9y5ZuwoJrUZ4ED2QD+JhhuipuSmBtEuklVKZoInEdAUp2SZx4Q4OdNslgEUrtPirwce+p3ExgWeltnv2vdSW4DhSuDcJJVnElbrxwRWo3C/vvZAQdtEU5sLjmVggDqozTgZNWdIgLhck9a2qYxA84dll1HlziHW0Z3U08+n1iWTs1wSL025wMXYMi4JXvqGFpJubQPKC7KP0mdj+9vPubt6ajxpPs36MEZzyYTr/5JJ2Yb8dR9F12fZ32pMEnfa04Myk8jbp2nuU5OinaiDW3TJAHjXQyxznjm+nFPW1bqo2dsmjsM0I5s+35M/fW5dbMcUMJxzlMW5YD+YLmloDjYYynHL/7ax4x+4nOSXv/zltNxuq8U7to9atAu7WyuNfcF3alFbwge5kqijOjYD0gej5uD9oXf9y6Rl4GkWVBpOGM2nn0mCqM09u1OCmH4djztPH0mLTCfNVvM5qfN5muwsq8+UDvXbDKXFZGKjWspMOyAtS9z8Ns19Qo1EoqipqjVRJrFxB/Y80iTr5Fo029Lyp8/MtFtn91Bfpx8u2zWJ4ELQL+b3mY9/JcAKRNm+eVnHNEkCJH4W4hPu3u6mkcKQQPNmTGFmNZIwhSWjVJOgm6/EtPV52hcSVNrddkqmY/84B2Qw7XIVNBjGFKY/2hntow0qyTYVltHAiBR2QGqRHhqqydL5pgCj0OW3mu1kqFkW/aiO0R1ivjoODMRS4Mz5n+USMlfN3WMi+3VUxxZATtocGLlXms/mIy5ArScd1W5h4+BLiTi1mTyk0PdTQpegpyaR++ZpLlTKV3sCSTyVyjA9KM1rusF0AVPJMluPZFjzIbUBL4lcOrGNXNN0kvVM7UAfU0ZGtdFi2R7ZPxKxNkIzmYt5C3e018xlIIrjAAYDQVfjajeaXQgSNH0rHiTZEnnr4/ZX9IvMOs8hs66kk8eicO/222/v/6ePlb7Td5XCgYEJajVcmqgc+3zPPU10baRZjnkJu+ZINZEM0rFsvquQgXmW9zLox7ZV69CM3AolzicuNUk1N9s0v7EcmvKcW/YV/SyTNWCE91oGB6hfbpWWgtWjUe92fqewl2PYemeZM5hn1lBMapnQJg1aKTVNaENozS1JiB1U7pquZJYBDCD/Twao1OSkSsk6JVaJjhqWBC8nwBCTcjeLXBPG5FbLy+8k7pY9y5xmPNsz38uQ3pQY06RpnQHvp8kRZEBHK11mP6S07u+2b1P7yP7h0oEPcU3THu9SHncBUTvLNXUbM87cZULmqqkqmZSapGYl/TIykmS6aisKR2r99CsCh4SW99KsnBv35p6a5ucC8hwLlFszlVpBbuRrf6vZuoCfd2SUMlmj/mxPA0Zyy7HUthSSsoxtPzu/ZI6O29yHUeEgfT7OhdxoOPfcdHF/O+ZybsmErVtucjwZWHDdjmPbz/cU4hTu0vcp85olFJNaJjSP6NDMQ/A0Z+S6pfRV5N59TiojedwxAKlWhyjOUSaEUVXcc81TSrNMCiYsB+kZMvuc5zxn6siVGLm9jpvZWi7NNintOXmsF/XmOArMPJQPIoSTncADJU+ICyHhSM9M4kMPPXQaTq8vSj+PRN3INP0pamuYarhPMITaVdr9ZSYeIEi5yAvGQcBDMjX7JxFrG3IAAEPwSURBVCc2SFOSR61oakqTnv1JG9k/lJWyuSWV9TEkmXdJi3bG9MT71Mk9GCVU80m6RvcRSWb5GAuW0XJ5wrH9TjkYn7yjach663dh3SNtyea1hkWrFZIWPiECKQD36Oc84JMyu4MFl6H69D2gLJQbwk0QhIRfZkAeuauMhJSyeFAmJjr6NTVgAz/UXD34EzDmYNhs/ozwRPSn7eUZX5rn2nGgBmdAk7vKUE40Y/bBpK81n5Ovy2741npaFkPmXXRtX6oFuiyFbxkvRPxpzvvVhqATy2T7yCSNvM3NnzVLK6h6j/Ldeecd3f33P3Za9KygmNQy4YRJO7BSjPZkiU9K4A4oL6UjI+Y0naQ0lIxDZ6rE0AmVu6KnrTuJc5og01wI2k1nWwnO8niIoZpAOuv1DXjfeithZ3tokjMvnkEMnGCpbej0zigrvxO+q0CgVO6R8smIlFgNLU/GmH2TbZVaXLuINteG6RtK5qlkLXHPPl7MDJMmx9x9xLYwb8aAmmRGGNpeaaqSSalxK2il5pTHyTi2/Z2RfKnxShjTTObmy8A0M2DFzXDte82L+nFkuLaVwkvbptbNcWyZ0sxnvdSQLIPtnOZq2zKFnDSl8b5RiM4tyu4uNKZpGjl2U/DLdJ1j+e5vY57o4zP4STpkOt6zXdTAH6Mf/x9CPysoJrVMKO3olwESWE/rlZinL0hJNweypio1BP4a+MA3SJNMIKSq3GRWgqPZhr9K0xK/nMwSEc1p7TlDKWXKOJzIrnsiPZiSBIvy4Gw3DQi/EUj6T5S2DcHWRKMZD5B2RvSl30QCKUFJBpK2+Ty+QonTIIw0rRkejGNdYuCaFftWYmd5M7Q3/WXJcA0np8wQB5mh3zom3PFeQrwQo8pIMBcdZ9Sd7cEYsX8dj2gBSQz1Udpv9IEmIYm0zMvfecYYGoF1klG3Y5u/GbVm9JlLMozc1Fwmo0JrM3go28MgIYmxJwa4o7vvOs6YkwajGIRjezF/tBio9eb6pzYi1L6VQdpm5ucaKMdQHo8jw3SZh2PFtWJ5cjPfcN8ITtvydxvuZ7St68ocqznGcq7svtvufX21lqR1ZFZQ0X3LRKru+naUfCDUMh6JndBslppF+mcc0IbV6qNKm7N+HiEBdu2VEUJ8o7nA9PmrKcuBrV8ifRqpAaZ/TalWzS19BWp3tIHhwfzGjJHH26ePJzXK9JllG5u+dc11L2myk3l48jHmK9oxmbbpkibrVPSv5IJL2z2l6PQPSAAlPC58TY0zNWwvF5rKwBcy84l2TY67YrQ+tpT602/SOt5zHMpgiNQDMqhkQDLg9EnZf96T2CdTV+CxbUCOGwUUntMuEHy1lxzXabpSc0vBJ/2LaUnQyuG4yfmT/TM0j3IMpoXDsZjjyLPcMp8cK+bhDh5G8CZTyQCZNH8DmZg+4RQ27PdsA8fnrrvu0j2BUxL23L178MGHunvuuXfOEpYxoKL7NjOSIBntI8OB4DlgnLB+w2/9QE4AdzlXlQdGaGm7Toles1+rNUiocuKlqQs4wSVySoptFFA6nbPOmoMMi9ZP4qTX9Jg+EKXN9AXInNp1YkKzncTIyaXUqs9gCKapxpmEz7TbMkgINwVGlS32vQRlKX6B9FnaRqaTDCkZqWNP4pYCRTI3BSz72oCYNtggTc1JJB3DjieDN1yCYfkV3mQQEmIZGd+reeWYk4lbxwx+cFGq6bdBBLmno2VWSFLLSUZifbPdzdv0nIMpGMn81FDnC06QPmiSSw1bZmNYvdGc68Lcrf/V/kntqjVNP1ZO0tuh22FH/iK8/f96tllBMallgomIs1OHLA5i/TNGGzEw01nNPRz7aIOYmgx6wDntFi44p7mPc92zqXBEa4/W34VpQOmKshiIoYkAkLeRWuSD2YtvkJyTqWgWkTHqqyGPlOqYRJTfycu5YYAjIUiTerGzg1KnDIl8nWTuJ3fXXXfNkTBtpySCICVFiQFtR/twDRGF9N8MwYmstrdcbOzk35TV/o4Bo+RoJ0xj9huaiNJoy7g0/bAjhoErCkJqGVwEvWi2TUHFvkcY4X+CESSKaKlu5eNJwDfffHOfHwErWhDQVmlrAk0UiJgrLgQ2D8dF+umSGautufegZjfeJxze89tkkBL/FFacU5Q9TcdDmqcaZW7ppd+SMgCZRS6PkJHZD94jOIX3brjhhqmpM/uCOeJ8I8+DDz54ukOKc8ez4yiDu3cwFlIrfuihh3vT7/bb43td361du7576MGuW/fIdt36R7vutyt7cPRmRTGpZcJBo4ruANe8keuUNKXlbhMyMO5LPFJaJB0ZEpNKE4XMhbyBkhzfGsmVpgeZFOXVZs7EMS0ZknZyF7oOaTZtGgYhQBy0e7sZbppmiM5Lc5GTm/TcuSAjlUhf0xgEVhOOTFSmbLTjpkqIs2Dxtp60qxqyGgEEy6iy1JTTHyeRd0eJNLXlFlmO5wwMAGlmyiADmefQLvSm6Zjhfm52Sz7c19/i+zIHiXf67LznhrK+x3PGCG3EONPPldpz7u3n+qY2ui9Nf/+vjcy1enjcjXsRyoiNorPNbIvUbnJJg8w2lyyQjkE+amtrNpSJ/nVuOo88/Vu64rzX8rJmDWbhx+bndtvDjLtu/KN9LopJLRMMEjSp9A8wINz41UABibFmMRmaA971GWm35x0lZ8DkE04KCVNGiWl+cxJZTp67O4AanczQxbwyJx26gHKZvpIvhMVNNQ2vdmNL8oYApcNXRmg7uYBUZkP+EiCZDlKy5g7Cj12QabSSRE5H+KyZMZYCoxQ98FJTl8zIzXJlLLRhmvUcLxJx+9I+kTmooaZPLSMtHTOOEfrNxcL0mSbp1jznXzUSfpMP5aGfHXcSWhkgz3PfPMeIddP3qzDEWCJdxzOaib5HtRmZVGpcMlmQWpztpzaUvjTnl+e5uUdn+po10VoGfdQyKddUybwyoCa3NFuzQSB1XqrVaWIlP9qRvBT4CCp5tBdEmeO8B9NFWOlmChU4sUxANFDhdTanz0CkRORvJ6aSlxE/futRHulvGrKVp7kipWhNHGmy8R55M9k03zhJNbOkrya/tSwyRQmKUqt5Z17pB/Ed20ATTGqB5q0PT8aeuw442V087DWDQ3mjkVqjkIhpVlXgsT1BmnIhfh754bMMAEifTOuX9NLcJYxe9Jm+WH47R2UuQILNhXkReLK1/a724VgaClwxXf2eAEahCc3xpO9H7c2AIk/FHhqbrbCTQSdZBuudQR0yjbbcQmbpnpGuXUzfsBdpPOlJT5pqc0PbQ7U+P9uN/x8z96/v1mw36XbfbefukUfYNow2oH0n2+55UmPAmJiUC/A83ykn8HxwYGtq07yQi3qTIbWO7kSaY+bLq303TZBp5lgonTZPJ4JMaL6ypkQ6lEdLEPMdpfEsM7DNlFbTyb+tojVJAYlgS9BBS3Qdc21gwXxjRAyNhyS+hm7ne0r/MsA0G8qwuCDAmunMe1PJUdYvw6xbJuF7MsVs3/nqOx/8Jtsjhck2rRzPuaYr2zz7NBnhUssooydprh12QHDsRsegQDGpLYClEPhCofAYat4UQIWgbwHUJCsUlo6aN4WNwdzzEgqFQqFQGBGKSRUKhUJhtCgmVSgUCoXRophUoVAoFEaLYlKFQqFQGC2KSRUKhUJhtCgmVSgUCoXRophUoVAoFEaLYlKFQqFQGC2KSRUKhUJhtCgmVSgUCoXRophUoVAoFEaL2mB2mRg6PiGfgTyGYuismnynvZ+/M508Xwfk+TWbUv6hAwN91h53YH55xs7QN/PVOes3X/pLxXLTGzpepEWe0+U3yy1/216LlSHrOd/4ynHRftseibKpB0UuNG6W8n1b/vZYjSxr3iusHhSTWiY8yjqP9AaeBdMeJOjhaCDPtPGcm/bbPCso08mTUz20kLQ5p2apZ+KQlye3JjwIMQ9Us3weJc6VR3R7dLX3PBK7Zd55yKEHHC4HtlGec2W7bkwbWBbr1J5P5Wm3HnDnd/Q9eXlvqUTc/msPGcxjx9uy8r7tB/K0WI9az3OK8mwi0/X/oX5fDJaZyxN7lwLPfPLMK893ciwI28QDEz1UcVs+gbmwAkzqqquu6j70oQ91N954Y3f33Xd3l156aXfcccdNn893ON95553XnXHGGf3/nGTLceCJc845p3vf+97XzRKoK6eAcsIoB7gxmTjAzQMFPRKd81KcmJyWCSHhNFIOTOQcFU9PpU1kOIceemg/cX/2s591e++9d7fnnnt2P/nJT/p7HLL44x//uLv33nu7gw46qD/dk+84ZwsmOXTgXav1MNk5HZT8OW7bU16TyVF+D66j3JxoKrGmTB4BL6HiW8rGcd633nprXw7K7TuUj+8h7OTJSaP8T/twpD3pkvf//M//9HXyWHLA9xJnmUkeXsf7yaQ8zVSQB+WnvqbpkeWeeApoBw9YJE++oRy8Sx9zJDdl3Wuvvfr7/OVE2P6o7g35mSYnv9LGpmdZPT7ck5n5qzBDfgoEEm1PWeV/2pZ+MX/So26CwzdJn3rQnqR933339e/ts88+034kDfqLOWy56AuPQ89j2tsDEz3Rluc/+tGP+jQpjwJKnsLrb8cI9VKYeuYzn9mXj9/kzbuUlfc8Jp3/GSueZs0coL2LUa0eLJlJMSAPP/zw7i1veUt3/PHHP+45gz7xxS9+sTvppJO6E044Yc79f/iHf+je+ta3Tn8z+WYRTDIm0f777z8lTDIpCDmTDaILZFIPPPBAT0wgFHzrfZiUJ84ecMAB/aSFoPA/l5rTH/7hH05PAT7wwAP7fLkPoSQdiYTERYKXJ35CAEjjyU9+cp+2xNlj2LlgMB5tDYHgonwQx2c84xn9b+risdwQJQQQiDnEhnLwW2YGcZc4w1x5D0LqyawwEPLlff6H8KllcI+y8G1qcDIu0knNISVu7v/0pz/t34WJyngRMOgvxp7tQ/t5aiptD0GkHagzbUX+9B39ze99992371/qRh0B/UHfkj7zQe2ZfCmDggTPuRQyaHsYjtqNDJf7CCSkQ1moA31G/rxD/mpIfE85+Gv6ai0wBepDv5GG/eIR5pTb498VIJJRysxIU82HelMu+oq25FLYIB8Zse1KfgpqT3/60/u0KAffkd8dd9zR58dvBSfGON8yTih/MuXCto8lM6ljjz22v+YDhDlx2WWXdS996Uv7AZmAMLTvzgcGK5dg8I8BTEQIGdoOBAgCAgNxAjNZIQ781SQEcWFSQjQhKhBziI2QKEEoNCMqtarZQDDVKLgPIWCyk7++IjUbpXvam98yMQkijMLvlJQF73Jvjz326Imy5iTegYlIuJXAeQZBsrz8DxEnL+pOOWXSlIHvaAPSID0u3oMg006HHXbY1HRHO5MeecKMNQ/yG4IG8SJtvlV73G+//fpnvEN+MAy0XspGu6BZ0C5oO5rDaGO1Hk17ChukTXq0NYTT489hxIccckh3880392XlfRkp7Wafyrg0l/I//cx4IC/qR5pAjdM+ow78VTMhX36n2Yx7jDX+0l58a9oKLqRJnWlz+gFQF9qFd9TaeEeGzD3SorzkTz97DyGLNGkD0lSjIk/ai3SoE3OW8XbTTTdNGTbPqLNaMm1OfnxLPRwjXDJ158RSTYyF2cVm9Ulh0vrCF77QXXTRRY97du6553Znn312T4z+6q/+qjvttNOmEm4LTIEf/OAHuzGCicrko65MXn5L6PXpqGnwTEIs8VD6Tx8K95GO+Z5Jq6bBPQkSRFntBGIDEXOiA/0N5gGRIA/y1WekpgCTlRmmLwNiBSiDphyFBZgraXCp3fAMIgLIj3reddddU0YDM6DMlBeGQbpqdoD7EmX+530lcMoN4eJS2+A7JXdNnXyTPj+e8Q6MjTQhnEnkSCuZlKZOA1HUIjRF0QeUm3ZPExwXaasFaW70om00HWraojy0P/ctj/0nk1JD5T01MNs9/ZaOG019vK+WaR8hGPFMky752ta8r2BDPgoS1lHtRiZlHXlXISLbVfMcbUVaPOd/8nFcUh7KxXPbRCGD5waAWD/KQn5l6ltdWDNZRrgMA6j1SbV+KJgRRBBiIc4///zuBS94QS95XXPNNd2ZZ57ZvfnNb+7vb6wmheQ3Bqh9SNyT0UpwnHBcPtesZhrJqEA6xpWWZTgyi3SYKwVraswoNPNoI6pIw++H6pS+rHRsq8FpUrNOPuOyvzLAwotvuN9GJJoOhBbpe+3atT2DhjDJlAwayXJlWW1r07OsCgrWVYe8gR2+10ZImqc+I+ssUeXSrMY4p95DgRB8pxaERmXfylwzv7Y9NG3yVxNcBqQonGjGHYry1IysWdB+oU5oPzJZ2kmfWTKIdgyZHvXlN2moMcLEMghI5qXgZJ+p3RkQpEDnGPYbzaHUHUbVBqkUZhsIigjvW0WT+uQnP9m97nWvm8OgwOmnnz79/3nPe14/+N7+9rf3GhMDsgX3hu6PAUweHesSRdGG2GpGAkPmiqFQ7vw/CXNKmkNh34uFMCcTSxNfvteWJ8s4FM6coc+tZtAGbmSe7T2ZAARNX0X6l5IBtHVv2zr9VFm+fK42N1+75TdeaR41Uo6Jlv6/hBF3EmfT1OS1UF/5fbZRMpChe0N9l8sGsk62L+XQXNj2d1suL8ue0ZX6pNr2znqkaTnzGOrn1PIZD6VJbRoUItR+ZwWbjUl94xvf6G655ZbuM5/5zKLvvvjFL+4bDafpwQcf3M0SmJRMHB3NoCWYC637SAwR4HzWprNQWkP5L4Qxrj/Rl6LEPWboD1oqxiJ8KRgsF61WvtIYS3vNIh7ZYDFIq9SqZlKf+MQnuiOOOKKPBFwM3/nOd6ah1bMGJg1mSyRinbr6e4xOWgxGffF9mjZ1sCulaq4hbSVmtDjNcGly1E+wMQt8h5jpGJlWoVDYdKQpfJtmUjg/b7vttunv22+/vWcyhjJrZ7/kkku6f/mXf3nc99dee213/fXX9xF/EHZ+EzTx+te/fhrZNIsh6EZDGaEEo1HqU8LW5JNIP9bQWhTXAMkAYT78ryOdyDylI77RlMQzQ3s1wbRh6Wmy0pnNc8rPVcyqUNh28OiGwJpZM5cumUndcMMNPYNp/Usnnnhid+GFF/b/f/rTn+6J22tf+9rHfQ/B5flZZ53VE1bWy8Ck0k81S0CTIbwef4RrdYj8IprMhZpoiDqpZSJqPjIo14EYKUcYM88YVIZ7GyGYUVPPetaz+nRgWjB5HPhGHHKP8HEYKI5twAA1stCACxccG1yABkYUW4X5FgqFmY7u21qASBMhNQagQcIoYFAwFQg7zIHwWjRLGIyOdaPxDKd1carMB8amZkO6/HWxpWtPlIaIJCN0Otf9wIxcmwUTc12Qa6FIizx0nBrmzDeGf3OPcHrSLyZVKBS26ei+1QDXKhky7mJIGAhmQBdEut7GCCwX68IgXPfijg4yMrdLyhB0zXWuH4Lp6NPSFMiFNsTl+iLeJ0/CjA0RNrILkyDPDdHm+QzKLoVCYRtEaVIrgAx1zjBlV8rnup58Z77w6fnCutvvM/w4v8ktkAyNB+3efENlAJuym3qhUChsCkqT2szADJfrpBK5DmdrEX0jA2Vas+Y0LRQKK7tOSivMrKCY1DKBKY094PD5YDYrFAqFMeLBBx/st/bCX15MahXBzWLx9egbArmLQQYgqMmkyS13qmi3/nG7HrflEa350Gi93H3A9VIZ+t5udeS7mgFzG6DcAkctLHeS8F6Gsrc7Dfhuu9OF6aT2mbtstEgNcCg0Psuc3+SefKlJzmeizTQsZ64/yx01fD/T1gTrvnlZ57b8WZ5MO7c4atszNxxu2yHrkVduQZXmXeuXdcojO+yTTCvzccz5To4B38v8vK+PNXcByTTbuniUydA4zntuVOuWT0PlNz/r7jZTOQYz7Zwr3sudRrIts95tW7c7seSuIzle2zaerKAZPvdmnCUUk1omGDgu2nXBbUu0csDmPS/XRHHfCezefrkvYOtPct82I/40OSahdE1U7gQwxCDcuDMPtLPMpuNGqX7r2ioXHLt/YHvoXhIyiYN7zLmtTutfaydjnh2VBzCKPEQxmYxE13bI/QWzD0UyZ3euz+1+kiD6nX2a+87lVl65Ni0Jmm3KbxdlZ3sZwNIyKepqnZLo5sas2daeO5VMw3xz3zz3HeT9RDueLTv1NZrUtjaSdYjACnc3V+iyPG0bWRePUslx5RjI/RgZw57llf2Zc81xZrCSx9y048F9BnN88W2WmXnbtmcywCF/r+3tcpV8xzpl+62PdtuUAyq3BRSTWqEdJzwXyHVODCbWPXl8hVF3TiwX/DLRCRPnOxcAu6u3W9W46Wfua4bqzj3SZvCixrMWioCSnMBqdy40BuQjc/Q9ykp6nrFEuimNGibvoY4QDsqIfZsQd4+Z8HBBFxbnVjuuz3JHdP53o2A1xyTe1sMJTNlwsLoLep5UnAyE/9UGZC4euidBMH3rZRvZXrxHHxE96W4gHDuitkr57Rf7m3IZrIL51/OeyMsdSLIvc80ayxUk9rYZeYAUMMjLM7DycER3Wbc8Ll/gotyOSwUQj+Bw7R7vYxEgb444cVNXibnHczgGyYu2YQ0g/UIdPDLGaFbSpDx+CzyihPJnWUmP99xVxd3yqRdHibhm0GAkz81yKQfwlAHKn0KWpw6kZk3apIGp3p30ZS6864GXCmnOFQ+NJC/Gu/PVuaL1wrPFHBuOM+vrIamp5ZO2G/SqKT/44IPTvnd8rTYUk1omJHgS/ryXUq4DVOIkcZWYtOYj00sJK01yDvaUvj2KI7UWv5VoSHiyrMn81B5aCU8kked/iYpbQZlPSpytlG95+Z+6+05qQG2Qh+/kDthpilPjkZjl7h15tlaai3IneWCb2y8tU5N4yBTsjzwU0HLqpDYd31dbzT7kHm2nNpgmL9vDtrFvXDfnMxdit2YiNfDMT+aRSxraPGRoych93/InQc78tCyYt8KEafPcbx3PlkeNLy0IPpO55w4pwLHmtzl+LUOOm7Ru5NE6jjnb0vHnDvap0Tp2c5ymaXzI6pFzQcbtvpSOEeviWFkXh02mdWQ1oZjUMpGDS0nYweVEddLkRPZi4KGRKPHnqbASUicRDCht5BJ6kIfRtZtwOnHTTJT+gGQSTv48coKyuDOF+VlOzTY5oTRVyaxMM7UqJ12uDdNOn2aPNMN41pREOE09thMSr0Q2z1tq62sbk4bmJImnaea6NtexSaA9Z0mzp9qYRF9hQaLlbyXzJDzcI23Sou9kBmn+1DSrFN+a1Bxv2efWV80gBRvNyZqqLCv3PExRhqmAYZ76iOgvx5xp2i6tn8a+dwynlpyMMgUJy+Thm56hpWAnc7A9bGs0uZxnKTCYpuPX8tse9rXafDLw9Lmq+fB9at+JFLLM27ZBK/LoFseY2pfjWeFqhw1Hwjgui0kVlgQGOKaDlNpdICtRzwmV/gilUSauBBbwXPODkl1qIU5GpS6l87TRK3lqynEyJaHOQ/4w16VtPZmOBzUycSDobdCBBFJCkH4DzVnmK/FrjzbhuT6AdICntJ1tzj3KrMlkyHafPh0JnyYc8lfazbO7UtuVwZo25jcZveZTv5f5235qTjIdCKd7MOau7tkOSchSQ9H/kQu6UyPLYzIcD+RPPnyXWpAbGOtPcTylxigz1gQqfA6BtYx5RpWmSi0DljGFKevg0fW2re/JPNIHRX7W2fZSc9akbF2sh3XOv/qfFMBoAzXFDDpS60r/mozKNk0zXQqPPLOdnHvp9xvyL6c/WIbkuVmPbNACpS3p31otKCa1TLTOVJmPEydNVGmKkXAmgc1oIRmRh8pJrCRGmac+E2E6ecBcStZJ1JRe3cBWhthGIkmUPOwvicJQtFDmaTpZft9pNR2RUVqpLUoUfUdfH1AKbtNLxpkmwqxDMsEsR9Yjt7XSN5IE2r6SieoTlOHZxjKp7NeWEbfjSiLZjqGW+OVv8pEZSwQVXmRS6dfLoJ+2TbJd2sXpPjMNtb4ca61glNaG1HCy3Q3I0Qybl+/bD2middzn+EsCr8lSP3CmmUFDaTlIc1sKGSnU5Vg1jzyAlEvGlSZN56DCUkZurg+T42pFMakVBAMbDQjHsLuTtyYDmYCSlqebMjBxpuZE1cSkpK5kKQNMIpLmIzeZRRqTKBiJhTM/mZgaEgEXlMFAAaVuJ6t/STsDIpKBpIPfNNwXEILkAYZcSo+a59JB7HZR1kOCZkCHEqbHsfMe0LejFmO7KkEDiSLfKPGnFiHBVKrlW7XBlNxpL4Mz1Lg0xSWBMV/NueTrbv9uW5VCjMRIIppCiCY1/jdYAZCuxFmijcYr0UOL4y+bDZsH3/M/faPzXyaaPjOe5/hVq0vNxr4mT8Z9+lMdXzJU+svgANvaevKbctDGRr/xHXPAsSrh5zmXptq0SrB3JvUzQIS8aGvLypXBG6TNN1pAMlLUYJcU7JyP9oF5ZBAKZcMCoUnUII9c+J/9nQKgwtgsHUy4OVFMagXBoEtfhJNM/5JmCAl7BjZwjwg9mZQSloTUKx36aeMG5itRSD8JIC99QErnSrNubitBS22NeykttmuADJhIn1QyLMtKXWQe2twlaK0D2wCO1BpkZkqe+gINvrDOOus1HdletoHmT9tec00S4gygyMhKiWVqBfaNpiXfT19L+oFMyzqmZpK+nCyzvzWJpqkuy5Xas5dtTD/KEG0zYHnT1JbjOQMsUvMzX8urKTX9S9leMvkMZFBws6yWJ/0ztpF+VRmNbe2Y0wyor9G5Yj9bjtROHP+2a/rE0heX49q54FxuA0t8z7lm+s6/tAg4fnMO5Bwv1N59Kw41hTylVSKTfiS1k2Q0SRhzDZNEMHcuT0nPSSP0l+TET7OESIKUE0+fSxLa+ZDmLRmYTC4nnPmaZ05q31eCT80iTUGWUQaY5q68si4gtVN/p6M7y99qVZmvddB/2D5LhpFMRwJqOyht+/1QG9vPErhkKI4P0zF4Q82xNWOmjyXL4PPWb5dlb+uSfaJ2rSCUJjuFCn0+MheJs5YENXb73zbJNUoyBu5pTkwhK6MNc55YvmTAjvWcG9n3yaCSaWRZsi/Mo53DuZDe8ZpzXU0pIx+z7zNoaTJ7JHpJqL37tiAYXGla0vSS5qMMgnDwOcjRpDR1KElpEuRbBizp0KESRvfh8vgNTWgp+ekkJm8d+EnklLYlYDIpJ4qSoutlzFsTkY50JzmXC0izHZR+SQPzimYQymZwBsCMkpFPElLy4TJto/FyMbHnbqUmRlkxW5EXJh5AOTyoUgZBmkanacoxGIQ0OGOL9+ljGV0ufJX4kgbvaOoE1JE6a/KhXJSHerv41DJL6DDP0eauF7JelIE0ZKQIbBI6tV6Pd+HSDOn4sa6aMyXQ1FmTqUfPGCmXkYuslfNbtUTKoClULZUx6W78mtE0Y2bgigwmd/M3X/sqA1EM5mijIT32xoAhhTjHBu3vmKDs1De1Xuew5mOjWsmHb5MB5Tos+46L96graxYVfpxn1i21MJ/zl7EhGBfcu3fDqQUZQr/aUExqBdE6sFObcRI6qYFMQckwv0vJLiewRDnNa06AlP6TGLWaTUYR+dsJqJTtc+uVmhJoNSCR6VvPzK8lSNbR8pluMinzS8KQ36UUrgnOya+0nd+AdL7nMwmKzvFsy7Zf29+tYCHzTI3Dd7N/s/6preWC5Da/DLixTfO+DEPzmu3aBgLYHqkRSNRNI7Wndsxlv6cvJds3653jI81j+nnSdGe/p+aTZTYd+9tvUlNU03LMpfnOthoK2gF+k/7Wdl6b33xjMwMobIchbc/3LIf/77TTTjO1z97mQDGpFYTmkZzcTgDNfA5OpK20qQOd4xkNB3Q+G6rOpY07ndISoZzY5o2E1y4wzfScFDryM1Ra05zSYk6yZLIZgm4dNOeAZFzJgDRXCSXx9JFYLyVnCYMTP8vlpblMJ70hx2qYOsVTozTN3B1DiVgN1bR16tvfMg2kdN5JDTPXcTkWXNtGPdvQZcpgEIh+ONstzYyAMqj9gjQ7qv0awem9XHflWLON00yVa9Yk1Hm6tKAM5E891HrUDCyXadjujl0utcvWV6QvSe0nGY9zIJmdQom/NZXnbhWUNU2sKQhxqf06n23TNFO3a5kMKHKMmIb94JgzXdd+pfnQ9/hef9YuG8ZLRt2uNhST2kxIp3n6gQADUfMc72h3TsKfE6z9VsIpwUmfiFpRMsjUgNQufJ6h5eZtPslofA+0fhAJXmoYaWvPiZ0SrBK6EVJK0qnVmX+GUVseCU+G34Ns8/RbSNgsh/mkDyzLIAFKn0f6Fm2jbH+JXErVIIlu+ngysMJ7vm8f50JUkePC9tb8az3UiM0jCbr1yHxhqtYz+y99OSC1HJ/JUBnXGUKdQTbJCLMMChIZdKLwkxaBFGxybCez9rcMqRXagOH3CiIyQjXB1Krsw2zDHFeOYdIyACf71bGbGpiCm0Ib48Vv0gWQ2vkTNmy9lEx7W/dViWJSmwEOniGneC7w9b3cUilV/nbgtgQ0I8qYMPrDkvg4kQzpTXOMkyV9ELmwNCXAjC6UGUqUXGiaobtOLqXxlOAti/VNLbFdG5VEJLU0mXtqVb4PkvhyT4KXEXa2tQSScioRSyhzHVE65u2vFBL0iUDsk0n4XjIty2Y9jbbL/tc/lmussl5pWpLAp0/KMG3LlwEs+b1j1cjO1GoyECZNc5ZdopsLjw3/9nu1Tts9TWz2j9qVGogbxeZ4zLEhw01BSuItHI85D/ntMobsd/2IbfsqoNjnKWxp+lTz5rcBU1nGHI+OBwUj6mQ/576faRXZLvamzHoXkyosGUo86T9iYDH4IKhIem5EqwTPRFGi43t3JcjosSROEmwnl+YAJjnERUYlUbVcElgJGf/zrqYkggg0M0ncXKRLuppW3PWa6+c//3m/C4PEhMudNmQ6PKPe1tNyGZjBb81Ctk36Q5S+MyQ3JW/rnPUEfiMTwbHPe7lJp858tYBcx5L+LM2etJsSrgETmvtsM8OrdfDbd8l8AO9RFoM31JYMmlGTsG9xpGvqtP1SW0miK8Gjvm5ADBQYNP0ZxJBmTe6xjksGZnncYZx7tIPBOI4rtQjqwFo8BZGh/SnNy4gutb8MKKBclIP2sd00m6rNpKYL1EgykINyUVfagcAX8mBTXO5TD/uLi28MeJBxKWy4rsy81ZAUuuhLysZ7/CY/vm+FnNRs1dwUZqhvChR8t+uGuaWgmNumZZj+toxiUisMB1iaQloTi9JVG1UEhkwhaRZzIktsUppOYp5SWCuBpSTb2sqdiE5coHlOYpbEVhNKmsHaUOmU/NL8xm+l8kwjGUxratIk6bdZ7ixLSu32QWqQppMSqe3WOtNT6vfbJFateScd6qbbmvOynqnhZBunppVadZqa8rd9n+2QaZt+jkGZQmrfvq+QpCZs3fXjmV8KENmuqYFrxkszdjKbVoNI/1KO59wnMc2slredPzkvvbQ+ZB+nJp5tZhlaf287Tto5mBpeWgUyeCXbPTXsIXoCcnylr3ZbR62TWmGk3TzP2gE5kZMwtr6jjHRz1weJA3DyK42BHLx+axCHRLWNClNDkDElM8yJmun620AB35XZeS93q0jinqa2ZGLp2M41JCLNU+lsNn/NQkm8hsyttnkb6dWaBbOvUlDItEFGZuZmoQoS2T+ml361lkgm0UoiKlJgaH1G9o3pZISm2meOU8ulxp/BK+YrM3KRumkZjWe5M6Q6o0bbsZQaZas1cKVvdEgAUzNOk7FtkFq3wlkGKDkOMjo2223I1JeBI3kvx3z6RPP8sbxnna2fwTwZNTi0jm1dCFa5dpL+0HQ966h1UlsQOcm4aHjXjWj+k/hqMvEeA9aOSskrJXMlSBh0K0UmE9Gcp0kmw6nVqlpClT4YyutWSWo6OaFaKdX0nGi8y1oazX0ypFxYqdlM5kuemNAkwqnJ6X8irdwGB5OQG5VqquRyXQmEjLIh1PCd/hlNmu7QYHvxru+1pjlNUJqJ0uypySbNWRJj2zs3mPW79BfJJIy2sy80J9muue9f+jLbnR00UxnRZ/nTh2e7uvjctVf6x0yL7xib+l287/glPTcwJh3NnMkERFoILI9+KNKl/W07CbSMRv+n5lb7zjbA1CajMm/XQjn+fW7bOeZykXEKKa2gk+ZKzabME+vluixNv7zjWVRpxeB78nYutxpaRvo+Gn3G8wz0WQ0oJrXCSOKrf0Pire+By+1RlJ4YgCzedFCmn0CCwSTlfe30qaFl5FCGtxoWnOs4JFqtlC+xyZBfd56QKDlxkpBlFJU2dBYhOlndk0z/hlqTmolal4t42+1rlCh5pm9ABmid9XFJNHk/jx3nf9qN/F30qzSaPhEP7mu1W+sm4ZQB6EeijQ3kEGnG0X8o8dHnklK54ehp/uK+goZSe/ryUvvJKDJD0vN04HaXA/OSEUlYZbKWnbRgUixjyF0tHNfJaPXHGPGWgTa2g5f90e72rhbhUgT6w3aX0XNPAUWinePciFnL4njQF5yMOxcXD0W6ptarQGk6vMtYSo3Qey6iTuHM8qrp0ga5P6VjLsuwLvyFapOrCcWkVhDpIPWcJRmA60JSiswV+DqkgZJemrKUonWSZ57AyeNE168EUkLU/KZDPk1xSZSY3E4I8nfti5J8+jDSnGG5JfQSqiy32o7SoZJjmqNyU1Ags4QwG0ElkVaDzDaRWNm+OsJllGpPlBsCTLnd206HuQxVom4/tMex81xHdmsylThLQCVO1iUP+2vNT7lWTUJpkInCgu8qBKRZSk3JAJg0LVouI+/cHSLbLs2zueNF5ut7arhu1iqxTl+TaTuWnQ8Gd6j1Whfnj39zYa1tnxoQZqN2zZplVYBJJp5z06AYGbllzTmWfarmy7fse5nbQ6UvrV0IzNhRi+fd3E9RQas19a6PUPbWvN6asrdFFJNaQaTKDlJKdiKlBpRmNuCiV5Bn7UjkHcApSUks2zR9lk71NBekRJZSYxvQ4CTIyeHvZFJA06XaR9ZbIiQkUL5nWbMt00/Q+j6UZtMcM59j28mshgaScNoGarX2Q0qx2SdtoInmmPTr+Z3+CrWDtqz2Ra7PsU/TtyjzSZORTNO0sj1aDct0sz3VCK1rEr8si+ZXy5D+xQxukaEk4bSfbGO/zTGQglL66bxn3tkvadLLfhA+gwk4FmyHHHt+m+vCrGdaRbLd0xeWbZPBTY65LJttle2Y7ZVWk3Y8r4/NqHMJxGpABU6sIBhcHsSnxA5SogROuNQw0vymBqLar53fZ7mDdDIpfQba2dNk0y5ilUCq9blWQ0k0w79z8oDW3OeecNrmrbPlzUgqJ5walyYsw8hFDsskuvyvxO96nNSkcoK3hMD2V4vk+3R6J0PI3TFyMbKh3WmKtJ65I7gamMc1ZBBBRspp0vKolPQtpuadTF+tHPNw+qg0QRmNlwQ2hQi1cy7XRCUR19+lRpwak/3fvjfk79HEnac3AwWu3EnDsH+FGffpy3VmrmVq14xZhuxL+8zlAPrbyM+9BO3HJPxqn8B5124tNWRBMG3zc+89YZ1kaGr4WgWyDOmPWxcL0fNwxBSGZx0VOLEFweB1YOvY1RcAWunYQaovI6OYgDZ4Nyt1bYzn8TghgHkxqGWUMhwGtea6DFCQSZEGgQ68ow8p/RkZpgwkdL6rGVCfWvoC+F9fi21EeXCWO8k9F0iGo0SakrInzXKxPkszne/nZrS2TbanxEjCxeVZVPYLbSGzTv+Z2g7f8z4MJQm3YdEKFqbDb96VUCPVu27H/NxoF/9ULjhW2Gi1c4msDFBCq+bm+i21Dk15QJ9oruNiTZOMIRcUazrMzYotd0a82S7pP5Ex6pvx3Cb71PZww1fu846+HcuS5m3Hr+viNJED08jITuvEOOMbz/BybtF2jFfbzTVWChjA8UEbqJHpT7RcCjzWzbFDu9r+jv+M4NS/qmDHdwjfChum95sIuLFO2xKD2hgUk1phqJnkoYBp41dKdp8vo98kyCnNqdnIbDxePsOQ07YugdCXkav2c584J3lqUh7RbdlzH7IkMFmPDMowklBtwvtCgmJ+6YdJ7c203A5I6Ry4YBbipl9PAuqK/PSj2NZp1rF8+iVs0/RTSAzTlCVxmO9gvFysqg9Mgmy5ZXgZBCHDkeGnqc3te9IvI0GTkcik9C8qHGRAg+XSV6PgZP8psKSZy+9Ta/FdiWUbvacfVAFBi4Jj0Oekw32ZokzT+lq/NGemZmagSkaHpmCnpqhQpqau/xCGZDSj2k2eLp3+OvJxZ33bxwAY62qfZMSjlgHL4/+alJ0H7kKvppjBPwo+O0S4f1oEVgvK3LeCSGLplfb6lIAMe01TSA4+CUv6fjK83bSSMA9JWRLEhcoM0pfh97nxakaFWS5NIUqZuTA3y6pmkIEMEh+DRdIHIIFxf7Nk7O4ikBPfvC2r+bXmM5FET8LS+rMyKi2jr7xvCLpEUibBM5l17vRgIED6LAxpVxM1sCXNo5bJtsxdKPKk2Rw3abrznhqA40ytwMhLhZH0GalVWI5cF6WWmeZWx2KO5RRqUuDIceeaoWSulN+yybjUDlt/kWXNgA7vZcSjFo3cp0/hSwbRjpVk2Oad80vzbQZTyGhsqzRrWh8DktIn6NEguYnwwxuWryjIZjtsK1jM3De3RxbBOeec073oRS/qVXO2FjnuuOO6W265Zc47NOopp5zSHyONOnvCCSf05pnEXXfd1b3yla/spQjSOeOMMwbXVMwiMtJKE11OVIm9gzilr5TOJRamk9stZSBFRk0lU7MMOdGzHKbB+24KmlK/EjRIzUMJXOk4GYTReXksRU5uCYIBCBIOCUE645PIWz+fa47Mb22HbJuW+Ga9M782Yk3ikhGVtkWad2QeakWaZfwuo7WS8SiAyJRSg8yxYH3UMrNPTCe1jtRIbZu8l98OmYwyGMV62R5teklMHW+mn5rbUECMfZppS5DboIAcszn+sx65tVHblzn+Zbbp52qFAceJ5cq52DLFDIzKsZVMKq8sd9bJ/53jWfft43vnp+b61YIl1fTKK6/sGRCMig56//vf3x199NHdTTfdNLWFn3baad0XvvCF7pJLLum1nVNPPbU7/vjju29+85v9czoVBrX33nt311xzTXf33Xd3b3zjG/sB8U//9E/dLENTAMwZG7iEhMMMHYj8z2TgeTrUnbxONiUymHjuCJC27yQ0MgneIX+YSC4ydM2G63UkxGilmD/Ys0xTkSYK8+OvzMt66vjm0pSIVkS9sPVrWtG3kIEdEHnXw0joUlLM00g1rcgQ9dOlEz8d+ekr0KR0zz33TM1OQK3Iia5JxfoDzZD6I0wzNao0USXxyt0XLHMewCghdDNb21fmlD6iDCqxHx0DMguExiSSjqPW1GQZMjw69z3Mo00oj+Y6iamBDPat/i3Nu25WbPswFtw82LZO867towk3D0eU4WcwUQaJ6H9S6EsLgAw7tRmQ6wNtQ9PJQCb7wUW4Q8Ym7jFvbBvHsX5dNIMUqmSkjiGDVpijauGG5Ru4keb3nTf4hx1rhL0zd1cDlsSkLr/88jm/L7zwwp6I3njjjd2f/dmf9WrbJz7xie7f/u3fupe97GX9O5/61Ke6Qw89tLvuuuu6P/mTP+m+9KUv9UztK1/5Srd27druj/7oj7qzzz67e+9739udddZZjzt2YdYgYUiC1kq76SvQHKb0qISdxEACqGPeCWF+IgeyDNL8NXtIaHTOpiQr4dOWr/QnAVUClBB7PIESp8zDeiVBsNyag1IyFpYL4p1rjpQik7AMmY40A4E0Qen34319UOkDlKClxtm2v+XQVJeam4wy/Sf2pfB+RpPpS0mGmwJIa8oy79aX0ZrduK/wkKYq8+J7TaJpOpIhpDaQY8P62A7+r8/E9jQKzT70eWpn/O8iasdzLsiWiVFmmUWu6zN/xxHQbKopNs3uCl95ZflhKhn4YL86JmVWOXfbnVwcI2nql9GkrxQYpWh9gGu00vf0aCzsT7OlfbutWKAWwpLMfS1gSsBIFpgVA+Woo46avnPIIYd0BxxwQHfttdf2v/n73Oc+t2dQ4hWveEUvFfzgBz8YzMcdGvIaI9KxnRpRmhQkAA48iYzO91xro/akZJ0r5UErwTvhLEOazWSaSUhlOjIS37U8aZZK85L1y5BaYN7WqyW0SaCSsfgcpAlQppbvgSQYrZRrnZKJtcxRYpLMpy2XdbYelsHv2/7OdraNUpsaKmdGDZqG2on5Ok7ynsy4NXVln+TOBknorEc7Tv02AzTMK02wai5e1iv7z29yx3KRDNndV9JfaVoyhvzeMuU4zP5O06DjJAMN/L61RMi47XPrkMESLYNSQ81x0GrPKWzk+M26zjde2ojUdRvmVJpDW//ZtopNNmzSUO9617u6l7zkJd1hhx3W38OsQmdj7knAkHjmO8mgfO6z+XxhH/zgB7uxQwmWiYcpIENO3dHAQcoRFz5Lk5BmDhd3ota3TmeZmZKxE7MlqAgRKeVpokh/l4QGc4sMRuk0tydS65FJponSXSUMsyYtpeLc0y59Am5JlHUQMg0kaCOvaC/rqeaZfrJkli3zliDyv2cmpf8gGU0S21aj9C/lNyTaAw6zXGmmyf5N/xL50betDyYZ2hARynayXTMyLQMS2nZoCbB9136bvpck0MnIW8ab5XJMGZ2ZdclvLL+7aAA1O8crFyby1ELa9vBSe8tTcRNDwkLWSaZgeZIBDmnH8/UL/7OkoxXAtDK0dc7+9v82vzXRl6kVrgZsMpPCN/X973+/u/rqq7vNjTPPPLM7/fTTp7/RpJ72tKd1Y4NaSev8zkndDlyh6cU0NBHk+p9ckGt+aZ4yHYmw2oiEOCO7NOO1a0wyLN1J0B6IqFaUBFjpUKlPk0SaNJKxDTmpU7r121xkadvlYlgDRLI8LdNLrcW0Dfwg/1yPpYYFZKQZbWV7pokpAxNkqjKkluhYNrdfGpLKxXxE2b+pofvtEGHMtH1niGBnum1+9l+bXvttfp91zjq236dPsb2X/89X3vkY53z5JZKZpxa0Md9m22S7DGG+tsm0h9KYDAgC8/nJtlVsEpMiGOLzn/98d9VVV3X777//9D7BEEw+JOnUpoju45nvfOtb35qTntF/vtMiF5aOGQwiHf2u40hndg5mdwSQ2KlpubZJxpBBAh6PncEBQCKPFuc6HBdSmo7+ARmDRBSpU9u7Gh/f4BdS68CcK9Nx81r39tMUlcSF/3Hmt1FlHvdAWu67pw/BDUP1dbnThu0KWtMV9SYfN9xdiMCo4brY2YCUDBHmPR33vEd7G4hCHRjXlCt3h6ce+DO4x6F6tJmhxBmFpZaq7yo1lPkIztD9xe4NmRUTi0nfi32/VCaw2Df5fFMI72KMaXN+v1C7L/Tupr4zWUY7rRomReP89V//dXfppZd2V1xxRXfQQQfNeX7EEUf0k/OrX/1qH3oOCFEn5PzII4/sf/P3H//xH3t1GEIBvvzlL/cT/dnPfnY3y6B9clGnBCj9B+lnSW0io5e01YN0NqejubWpZ0CGm526QSvPNetomkoTlcfH+9yFhTJBdjT3GxdgZuSTk0ZNinfT5KL2YfCGeSiZQ9j1b5KWZjbXX5lGa7rS7KnJzWfzSbrZP9ln7VogzS76h2TWRh6qbSajcYNWdyswCi/LIJPK7X9WG8EpFDYrk8LER+TeZZdd1kuv+pCQIiFa/D3ppJN60xzSN4wHpgZjIrIPELIOM3rDG97QnXfeeX0af/u3f9unPQva0hBau7iSfrt9jIRZTSajwjRdaRpJB7ZMqt1gM01tRn6B1DY0/7nfXRsgoEO2XcuR+efu5O0xGkJG6/+5El//VGoNWYd24W46+dM80vrmNE+6w0HLqNIPkiY78kvtKX1mucuE9zPCso0wJN08YsP+TD+YaJ3kaWYqFLYEJsvUPEe/48R8dlfCzN/0pjf1/zNh3/3ud3cXX3xxP0mJ3PvYxz42x5R35513dieffHKvjWESOfHEE7tzzz13oxeojWnHCddT5Gr8xezTWwPz2b0XsocvJZ2F3t9c7TGkNW2t8iSzmS+PbLtZIxSF2ce6DaZ5LRCzsuNEbYu0THggnL6MQqFQGCMe2eDvdXPnsaB2Qd/McF+29tiHQqFQGBN+u8H8nOHvs4BiUivQ8QQWsI5ntSyuKxQKs4f1GxYy5+bDs4BiUsuECwgLhUKhsPIo0b9QKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBazCSTmkwmW7sIhUKhUNgC9HwmmdQDDzywtYtQKBQKhS1Az9dMZlAtWb9+fXfLLbd0z372s7sf//jH3W677ba1izSz+PWvf9097WlPq3ZcAVRbrgyqHVdHW04mk55B7bvvvt12282vL+3QzSCo0H777df/T8OPrfFnEdWOK4dqy5VBtePKYaxtufvuuy/6zkya+wqFQqGwOlBMqlAoFAqjxcwyqZ133rn7wAc+0P8tbDqqHVcO1ZYrg2rHlcPO20BbzmTgRKFQKBRWB2ZWkyoUCoXCto9iUoVCoVAYLYpJFQqFQmG0KCZVKBQKhdGimFShUCgURouZZFIf/ehHuz/4gz/onvCEJ3QvfvGLu29961tbu0ijx1lnndWtWbNmznXIIYdMnz/88MPdKaec0u25557dE5/4xO6EE07ofv7zn3erHVdddVX3qle9qt+6hTb77Gc/O+c5wbF///d/3+2zzz7dLrvs0h111FHdrbfeOuedX/7yl93rXve6fsX/Hnvs0Z100kndb37zm261YbG2fNOb3vS4MXrMMcfMeafasuvOOeec7kUvelH3+7//+91Tn/rU7rjjjuu3iUtszHy+6667ule+8pXdrrvu2qdzxhlndOvWrevGhpljUp/5zGe6008/vY/9/+///u/u8MMP717xild0v/jFL7Z20UaP5zznOd3dd989va6++urps9NOO6373Oc+111yySXdlVde2f3sZz/rjj/++G6143//93/7MYZgNITzzjuv+/CHP9x9/OMf766//vru937v9/rxCJEQENUf/OAH3Ze//OXu85//fE+s3/a2t3WrDYu1JYAp5Ri9+OKL5zyvtuz6+QkDuu666/p2eOSRR7qjjz66b9+Nnc+PPvpoz6B+97vfdddcc0130UUXdRdeeGEvcI0OkxnDH//xH09OOeWU6e9HH310su+++07OOeecrVquseMDH/jA5PDDDx98dv/990923HHHySWXXDK9d/PNN7N+bnLttdduwVKOG7THpZdeOv29fv36yd577z350Ic+NKctd95558nFF1/c/77pppv67/7rv/5r+s4Xv/jFyZo1ayY//elPJ6sVbVuCE088cfLqV7963m+qLYfxi1/8om+XK6+8cqPn83/8x39Mtttuu8k999wzfeeCCy6Y7LbbbpPf/va3kzFhpjQpuP6NN97Ym1Rys1l+X3vttVu1bLMAzFCYWp7+9Kf3EinqPqBNkcayXTEFHnDAAdWuC+D222/v7rnnnjntxoaZmKBtN/5ilnrhC184fYf3GbdoXoW5uOKKK3rT08EHH9ydfPLJ3X333Td9Vm05jF/96lf93yc/+ckbPZ/5+9znPrdbu3bt9B0sAOyajqY6JswUk7r33nt7NTUbFvAbYlGYHxBO1PnLL7+8u+CCC3oC+6d/+qf9Vvm03U477dQTgES168KwbRYaj/yF6CZ22GGHnqBU2z7e1Pev//qv3Ve/+tXun//5n3sz1bHHHtvPeVBtOXxs0bve9a7uJS95SXfYYYf19zZmPvN3aNz6bEyYyaM6CksHk10873nP65nWgQce2P37v/977/AvFLY2/vIv/3L6P1I+4/QZz3hGr129/OUv36plGytOOeWU7vvf//4c//K2hpnSpPbaa69u++23f1yUCr/33nvvrVauWQRS1rOe9azutttu69sOU+r9998/551q14Vh2yw0HvnbBvUQQUWUWrXtwsAszZxnjIJqy7k49dRT++CRr3/9693+++8/vb8x85m/Q+PWZ2PCTDEpVNgjjjiiNwekusvvI488cquWbdZA2O6PfvSjPnSaNt1xxx3ntCshrfisql3nx0EHHdRP6Gw3bPr4R2w3/kIs8BOIr33ta/24RZstzI+f/OQnvU+KMQqqLR8DcScwqEsvvbSvP+MwsTHzmb/f+9735jB9IgUJ7efE81FhMmP49Kc/3UdPXXjhhX20z9ve9rbJHnvsMSdKpfB4vPvd755cccUVk9tvv33yzW9+c3LUUUdN9tprrz4yCLzjHe+YHHDAAZOvfe1rkxtuuGFy5JFH9tdqxwMPPDD59re/3V9Ml/PPP7///8477+yfn3vuuf34u+yyyybf/e53++i0gw46aPLQQw9N0zjmmGMmz3/+8yfXX3/95Oqrr54885nPnLz2ta+drDYs1JY8e8973tNHnzFGv/KVr0xe8IIX9G318MMPT9OotpxMTj755Mnuu+/ez+e77757ej344IPTdxabz+vWrZscdthhk6OPPnryne98Z3L55ZdPnvKUp0zOPPPMydgwc0wKfOQjH+k7YKeddupD0q+77rqtXaTR4zWvec1kn3326dtsv/3263/fdttt0+cQ1Xe+852TJz3pSZNdd9118hd/8Rf9wF/t+PrXv94T1PYiXNow9L/7u7+brF27theeXv7yl09uueWWOWncd999PSF94hOf2If4vvnNb+6J8mrDQm0JgYVgQigJnz7wwAMnb33rWx8nfFZbTgbbkOtTn/rUkubzHXfcMTn22GMnu+yySy+wIsg+8sgjk7GhzpMqFAqFwmgxUz6pQqFQKKwuFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQKo0UxqUKhUCiMFsWkCoVCoTBaFJMqFAqFwmhRTKpQKBQK3Vjxf482R8VBpBRyAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import torchvision.transforms as transforms\n",
    "\n",
    "preproc = transforms.Compose([\n",
    "    transforms.Resize((224, 224)),\n",
    "    transforms.ToTensor(),\n",
    "    lambda x: 1-x,\n",
    "])\n",
    "\n",
    "def preprocess(sample):\n",
    "    image, json = sample\n",
    "    try:\n",
    "        label = json[\"annotations\"][0][\"category_id\"]\n",
    "    except Exception:\n",
    "        label = 0\n",
    "    return preproc(image), label\n",
    "\n",
    "dataset = pil_dataset.map(preprocess)\n",
    "\n",
    "for image, label in dataset:\n",
    "    break\n",
    "plt.imshow(image.numpy().transpose(1, 2, 0))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`WebDataset` is just an instance of a standard `IterableDataset`. It's a single-threaded way of iterating over a dataset. Since image decompression and data augmentation can be compute intensive, PyTorch usually uses the `DataLoader` class to parallelize data loading and preprocessing. `WebDataset` is fully compatible with the standard `DataLoader`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are a number of notebooks showing how to use WebDataset for image classification and LLM training:\n",
    "\n",
    "- [train-resnet50-wds](examples/out/train-resnet50-wds.ipynb) -- simple, single GPU training from Imagenet\n",
    "- [train-resnet50-multiray-wds](examples/out/train-resnet50-multiray-wds.ipynb) -- multinode training using webdataset\n",
    "- [generate-text-dataset](examples/out/generate-text-dataset.ipynb) -- initial dataset generation\n",
    "- [tesseract-wds](examples/out/tesseract-wds.ipynb) -- shard-to-shard transformations, here for OCR running over large datasets\n",
    "- [train-ocr-errors-hf](examples/out/train-ocr-errors-hf.ipynb) -- an example of LLM fine tuning using a dataset in webdataset format\n",
    "\n",
    "The [wds-notes](examples/wds-notes.ipynb) notebook contains some additional documentation and information about the library."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The `webdataset` Pipeline API\n",
    "\n",
    "The `wds.WebDataset` fluid interface is just a convenient shorthand for writing down pipelines. The underlying pipeline is an instance of the `wds.DataPipeline` class, and you can construct data pipelines explicitly, similar to the way you use `nn.Sequential` inside models."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "execution": {
     "iopub.execute_input": "2025-06-18T12:04:27.865557Z",
     "iopub.status.busy": "2025-06-18T12:04:27.865421Z",
     "iopub.status.idle": "2025-06-18T12:04:31.403662Z",
     "shell.execute_reply": "2025-06-18T12:04:31.403286Z"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(torch.Size([16, 3, 224, 224]), (16,))"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset = wds.DataPipeline(\n",
    "    wds.SimpleShardList(url),\n",
    "    # at this point we have an iterator over all the shards\n",
    "\n",
    "    # this shuffles the shards\n",
    "    wds.shuffle(100),\n",
    "\n",
    "    # add wds.split_by_node here if you are using multiple nodes\n",
    "    wds.split_by_worker,\n",
    "\n",
    "    # at this point, we have an iterator over the shards assigned to each worker\n",
    "    wds.tarfile_to_samples(),\n",
    "\n",
    "    # this shuffles the samples in memory\n",
    "    wds.shuffle(shuffle_buffer),\n",
    "\n",
    "    # this decodes the images and json\n",
    "    wds.decode(\"pil\"),\n",
    "    wds.to_tuple(\"png\", \"json\"),\n",
    "    wds.map(preprocess),\n",
    "    wds.batched(16)\n",
    ")\n",
    "\n",
    "batch = next(iter(dataset))\n",
    "batch[0].shape, batch[1].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Secure Mode\n",
    "\n",
    "You can run WebDataset in a mode that improves security. This disables the `pipe:` and `file:` protocols, as well as attempts to decode Python pickles. This should disable simple attacks and no successful attacks are currently known; rely on this mode at your own risk. \n",
    "\n",
    "You enable secure mode by setting `webdataset.utils.enforce_security = True` before you start using the library. You can also set `WDS_SECURE=1` in your environment."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Installation and Documentation\n",
    "\n",
    "    $ pip install webdataset\n",
    "\n",
    "For the Github version:\n",
    "\n",
    "    $ pip install git+https://github.com/tmbdev/webdataset.git\n",
    "\n",
    "Here are some videos talking about WebDataset and large scale deep learning:\n",
    "\n",
    "- [Introduction to Large Scale Deep Learning](https://www.youtube.com/watch?v=kNuA2wflygM)\n",
    "- [Loading Training Data with WebDataset](https://www.youtube.com/watch?v=mTv_ePYeBhs)\n",
    "- [Creating Datasets in WebDataset Format](https://www.youtube.com/watch?v=v_PacO-3OGQ)\n",
    "- [Tools for Working with Large Datasets](https://www.youtube.com/watch?v=kIv8zDpRUec)\n",
    "\n",
    "# Dependencies\n",
    "\n",
    "The WebDataset library only requires PyTorch, NumPy, and a small library called `braceexpand`.\n",
    "\n",
    "WebDataset loads a few additional libraries dynamically only when they are actually needed and only in the decoder:\n",
    "\n",
    "- PIL/Pillow for image decoding\n",
    "- `torchvision`, `torchvideo`, `torchaudio` for image/video/audio decoding\n",
    "- `msgpack` for MessagePack decoding\n",
    "- the `curl` command line tool for accessing HTTP servers\n",
    "- the Google/Amazon/Azure command line tools for accessing cloud storage buckets\n",
    "\n",
    "Loading of one of these libraries is triggered by configuring a decoder that attempts to decode content in the given format and encountering a file in that format during decoding. (Eventually, the torch... dependencies will be refactored into those libraries.)"
   ]
  },
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   "source": []
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